Update of /cvsroot/pure-data/externals/grh/adaptive/src
In directory sc8-pr-cvs1.sourceforge.net:/tmp/cvs-serv28792/src
Added Files:
	adaptive.c adaptive.h lms2~.c lms~.c makefile makefile_mingw 
	makefile_msvc nlms2~.c nlms3~.c nlms~.c 
Log Message:
initial commit of adaptive
--- NEW FILE: lms~.c ---
/******************************************************
 *
 * Adaptive Systems for PD
 *
 * copyleft (c) Gerda Strobl, Georg Holzmann
 * 2005
 *
 * for complaints, suggestions: grh(a)mur.at
 *
 ******************************************************
 *
 * license: GNU General Public License v.2
 *
 ******************************************************/
#include "adaptive.h"
/* ------------------------ lms~ ------------------------- */
static t_class *lms_tilde_class;
typedef struct _lms
{
  t_object x_obj;
  t_float f;
  t_sample *buf;
  t_sample *tmp;
  t_int bufsize;
  int adapt; // enable/disable adaptation
  
  t_int N; //number of coefficients of the adaptive system
  t_float *c; // coefficients of the system
  t_float mu; // step-size parameter (learning rate)
  t_canvas *x_canvas;
} t_lms_tilde;
static void lms_tilde_a(t_lms_tilde *x, t_floatarg f)
{
  x->adapt = (f==0) ? 0 : 1;
}
static void lms_tilde_geta(t_lms_tilde *x)
{
  if(x->adapt==0)
    post("lms~: adaptation is currently OFF");
  else
    post("lms~: adaptation is currently ON");
}
static void lms_tilde_mu(t_lms_tilde *x, t_floatarg f)
{
  x->mu = f;
}
static void lms_tilde_getmu(t_lms_tilde *x)
{
  post("mu (step-size parameter): %f", x->mu);
}
static void lms_tilde_getN(t_lms_tilde *x)
{
  post("N (number of coefficients): %d", x->N);
}
static void lms_tilde_clear(t_lms_tilde *x)
{
  int i;
  
  // clear coefficients
  for(i=0; i<x->N; i++)
    x->c[i] = 0;
  
  // clear temp buffer
  for(i=0; i<x->N-1; i++)
    x->buf[i] = 0;
}
static void lms_tilde_init(t_lms_tilde *x)
{
  int i;
  
  // set the first coefficient to 1, all others to 0
  // so this is a delay free transmission
  x->c[0] = 1;
  for(i=1; i<x->N; i++)
    x->c[i] = 0;
  
  // clear temp buffers
  for(i=0; i<x->N-1; i++)
    x->buf[i] = 0;
}
static void lms_tilde_print(t_lms_tilde *x)
{
  int i;
  
  // print coefficients
  post("\nNr. of coefficients: %d",x->N);
  post("coefficients:");
  for(i=0; i<x->N; i++)
    post("\t%d: %f",i,x->c[i]);
}
static void lms_tilde_write(t_lms_tilde *x, t_symbol *s)
{
  // make correct path
  char filnam[MAXPDSTRING];
  char filename[MAXPDSTRING];
  canvas_makefilename(x->x_canvas, s->s_name, filnam, MAXPDSTRING);
  sys_bashfilename(filnam, filename);
  // save to file
  adaptation_write(filename, x->N, x->mu, x->c);
}
static void lms_tilde_read(t_lms_tilde *x, t_symbol *s)
{
  // make correct path
  char filnam[MAXPDSTRING];
  char filename[MAXPDSTRING];
  canvas_makefilename(x->x_canvas, s->s_name, filnam, MAXPDSTRING);
  sys_bashfilename(filnam, filename);
  
  // read file
  adaptation_read(filename, &x->N, &x->mu, x->c, x->buf);
}
static t_int *lms_tilde_perform(t_int *w)
{
  t_lms_tilde *x = (t_lms_tilde *)(w[1]);
  t_sample *x_ = (t_sample *)(w[2]);
  t_sample *d_ = (t_sample *)(w[3]);
  t_sample *y_ = (t_sample *)(w[4]);
  int n = (int)(w[5]);
  int i, j, tmp;
  t_sample e=0;
  
  
  for(i=0; i<n; i++)
  {
    // calc output (filter)
    
    x->tmp[i]=0;
    
    // y_[i] += x->c[j] * x_[i-j];
    // so lets split in two halfs, so that
    // negative indezes get samples from the
    // last audioblock (x->buf) ...
    tmp = (i+1 - x->N)*(-1);
    tmp = tmp<0 ? 0 : tmp;
    
    for(j=0; j<x->N-tmp; j++)
      x->tmp[i] += x->c[j] * x_[i-j];
    
    for(j=x->N-tmp; j<x->N; j++)
      x->tmp[i] += x->c[j] * x->buf[(i-j)*(-1)-1];
    
    if(x->adapt)
    {
      // error computation
      e = d_[i] - x->tmp[i];
        
      // coefficient adaptation
      // (split in the same way as above)
    
      for(j=0; j<x->N-tmp; j++)
        x->c[j] = x->c[j] + x->mu * x_[i-j] * e;
    
      for(j=x->N-tmp; j<x->N; j++)
        x->c[j] = x->c[j] + x->mu * x->buf[(i-j)*(-1)-1] * e;
    }
    
    //post("%d: in %f, d: %f, out: %f, error: %f, c1:%f, c2:%f", i, x_[i], d_[i], x->tmp[i], e, x->c[0], x->c[1]);
  }
  // store last samples for next audiobuffer
  for(i=0; i<x->N-1; i++)
    x->buf[i] = x_[n-1-i];
  
  // now write tmp to outlet
  while(n--)
    y_[n] = x->tmp[n];
   
  return (w+6);
}
static void lms_tilde_dsp(t_lms_tilde *x, t_signal **sp)
{
  // allocate new temp buffer if buffersize changes
  if(x->bufsize != sp[0]->s_n)
  {
    if(sp[0]->s_n < x->N)
      post("lms~ WARNING: buffersize must be bigger than N, you will get wrong results !!!");
    
    if(x->tmp) freebytes(x->tmp, sizeof(t_sample) * x->bufsize);
    x->tmp = (t_sample *)getbytes(sizeof(t_sample) * sp[0]->s_n);
    
    x->bufsize =  sp[0]->s_n;
  }
  dsp_add(lms_tilde_perform, 5, x, sp[0]->s_vec, sp[1]->s_vec, 
	  sp[2]->s_vec, sp[0]->s_n);
}
static void lms_tilde_helper(void)
{
  post("\nlms~: Adaptive transversal filter using LMS");
  post("INPUT:");
  post("\tinlet1: input signal x[n]");
  post("\tinlet2: desired output signal d[n]");
  post("\tinit_arg1: number of coefficients of the adaptive system");
  post("\tinit_arg2, mu: step-size parameter (learning rate)");
  post("OUTPUT:");
  post("\toutlet1: output signal\n");
}
static void *lms_tilde_new(t_symbol *s, int argc, t_atom *argv)
{
  t_lms_tilde *x = (t_lms_tilde *)pd_new(lms_tilde_class);
  int i;
  
  // default values:
  x->N = 8;
  x->mu = 0.05;
  x->adapt = 0;
  x->tmp = NULL;
  x->bufsize = 0;
  
  switch(argc)
  {
    case 2:
      x->mu = atom_getfloat(argv+1);
    case 1:
      x->N = atom_getint(argv);
      x->N = (x->N<=0) ? 1 : x->N;
  }
  
  // allocate mem and init coefficients
  x->c = (t_float *)getbytes(sizeof(t_float) * x->N);
  for(i=0; i<x->N; i++)
    x->c[i] = 0;
  
  // allocate mem for temp buffer
  x->buf = (t_sample *)getbytes(sizeof(t_sample) * x->N-1);
  for(i=0; i<x->N-1; i++)
    x->buf[i] = 0;
  
  inlet_new(&x->x_obj, &x->x_obj.ob_pd, &s_signal, &s_signal);
  outlet_new(&x->x_obj, &s_signal);
  x->x_canvas = canvas_getcurrent();
  return (x);
}
static void lms_tilde_free(t_lms_tilde *x)
{
  if(x->c) freebytes(x->c, sizeof(t_float) * x->N);
  if(x->buf) freebytes(x->buf, sizeof(t_sample) * x->N-1);
  if(x->tmp) freebytes(x->tmp, sizeof(t_sample) * x->bufsize);
}
void lms_tilde_setup(void)
{
  lms_tilde_class = class_new(gensym("lms~"), (t_newmethod)lms_tilde_new, 
                    (t_method)lms_tilde_free, sizeof(t_lms_tilde), 
                    CLASS_DEFAULT, A_GIMME, 0);
  class_addmethod(lms_tilde_class, (t_method)lms_tilde_a,
                  gensym("adaptation"), A_DEFFLOAT, 0);
  class_addmethod(lms_tilde_class, (t_method)lms_tilde_geta,
                  gensym("getadaptation"), 0);
  class_addmethod(lms_tilde_class, (t_method)lms_tilde_mu, 
                  gensym("mu"), A_DEFFLOAT, 0);
  class_addmethod(lms_tilde_class, (t_method)lms_tilde_getmu,
                  gensym("getmu"), 0);
  class_addmethod(lms_tilde_class, (t_method)lms_tilde_getN,
                  gensym("getN"), 0);
  class_addmethod(lms_tilde_class, (t_method)lms_tilde_init,
                  gensym("init_unity"), 0);
  class_addmethod(lms_tilde_class, (t_method)lms_tilde_clear,
                  gensym("clear"), 0);
  class_addmethod(lms_tilde_class, (t_method)lms_tilde_print,
                  gensym("print"), 0);
  class_addmethod(lms_tilde_class, (t_method)lms_tilde_write, 
                  gensym("write"), A_DEFSYMBOL, 0);
  class_addmethod(lms_tilde_class, (t_method)lms_tilde_read, 
                  gensym("read"), A_DEFSYMBOL, 0);
  class_addmethod(lms_tilde_class, (t_method)lms_tilde_dsp, gensym("dsp"), 0);
  CLASS_MAINSIGNALIN(lms_tilde_class, t_lms_tilde, f);
  
  class_addmethod(lms_tilde_class, (t_method)lms_tilde_helper, gensym("help"), 0);
}
--- NEW FILE: nlms~.c ---
/******************************************************
 *
 * Adaptive Systems for PD
 *
 * copyleft (c) Gerda Strobl, Georg Holzmann
 * 2005
 *
 * for complaints, suggestions: grh(a)mur.at
 *
 ******************************************************
 *
 * license: GNU General Public License v.2
 *
 ******************************************************/
#include "adaptive.h"
/* ------------------------ nlms~ ------------------------- */
static t_class *nlms_tilde_class;
typedef struct _nlms
{
  t_object x_obj;
  t_float f;
  t_sample *buf;
  t_sample *tmp;
  t_int bufsize;
  int adapt; // enable/disable adaptation
  
  t_int N; //number of coefficients of the adaptive system
  t_float *c; // coefficients of the system
  t_float mu; // step-size parameter (learning rate)
  t_float alpha; // small constant to avoid division by zero
  t_canvas *x_canvas;
} t_nlms_tilde;
static void nlms_tilde_a(t_nlms_tilde *x, t_floatarg f)
{
  x->adapt = (f==0) ? 0 : 1;
}
static void nlms_tilde_geta(t_nlms_tilde *x)
{
  if(x->adapt==0)
    post("nlms~: adaptation is currently OFF");
  else
    post("nlms~: adaptation is currently ON");
}
static void nlms_tilde_mu(t_nlms_tilde *x, t_floatarg f)
{
  x->mu = f;
}
static void nlms_tilde_getmu(t_nlms_tilde *x)
{
  post("mu (step-size parameter): %f", x->mu);
}
static void nlms_tilde_alpha(t_nlms_tilde *x, t_floatarg f)
{
  x->alpha = f;
}
static void nlms_tilde_getalpha(t_nlms_tilde *x)
{
  post("alpha: %f", x->alpha);
}
static void nlms_tilde_getN(t_nlms_tilde *x)
{
  post("N (number of coefficients): %d", x->N);
}
static void nlms_tilde_clear(t_nlms_tilde *x)
{
  int i;
  
  // clear coefficients
  for(i=0; i<x->N; i++)
    x->c[i] = 0;
  
  // clear temp buffer
  for(i=0; i<x->N-1; i++)
    x->buf[i] = 0;
}
static void nlms_tilde_init(t_nlms_tilde *x)
{
  int i;
  
  // set the first coefficient to 1, all others to 0
  // so this is a delay free transmission
  x->c[0] = 1;
  for(i=1; i<x->N; i++)
    x->c[i] = 0;
  
  // clear temp buffers
  for(i=0; i<x->N-1; i++)
    x->buf[i] = 0;
}
static void nlms_tilde_print(t_nlms_tilde *x)
{
  int i;
  
  // print coefficients
  post("\nNr. of coefficients: %d",x->N);
  post("coefficients:");
  for(i=0; i<x->N; i++)
    post("\t%d: %f",i,x->c[i]);
}
static void nlms_tilde_write(t_nlms_tilde *x, t_symbol *s)
{
  // make correct path
  char filnam[MAXPDSTRING];
  char filename[MAXPDSTRING];
  canvas_makefilename(x->x_canvas, s->s_name, filnam, MAXPDSTRING);
  sys_bashfilename(filnam, filename);
  // save to file
  adaptation_write(filename, x->N, x->mu, x->c);
}
static void nlms_tilde_read(t_nlms_tilde *x, t_symbol *s)
{
  // make correct path
  char filnam[MAXPDSTRING];
  char filename[MAXPDSTRING];
  canvas_makefilename(x->x_canvas, s->s_name, filnam, MAXPDSTRING);
  sys_bashfilename(filnam, filename);
  
  // read file
  adaptation_read(filename, &x->N, &x->mu, x->c, x->buf);
}
static t_int *nlms_tilde_perform(t_int *w)
{
  t_nlms_tilde *x = (t_nlms_tilde *)(w[1]);
  t_sample *x_ = (t_sample *)(w[2]);
  t_sample *d_ = (t_sample *)(w[3]);
  t_sample *y_ = (t_sample *)(w[4]);
  int n = (int)(w[5]);
  int i, j, tmp;
  t_sample e=0, x_2;
  
  
  for(i=0; i<n; i++)
  {
    // calc output (filter)
    
    x->tmp[i]=0;
    
    // y_[i] += x->c[j] * x_[i-j];
    // so lets split in two halfs, so that
    // negative indezes get samples from the
    // last audioblock (x->buf) ...
    tmp = (i+1 - x->N)*(-1);
    tmp = tmp<0 ? 0 : tmp;
    
    for(j=0; j<x->N-tmp; j++)
      x->tmp[i] += x->c[j] * x_[i-j];
    
    for(j=x->N-tmp; j<x->N; j++)
      x->tmp[i] += x->c[j] * x->buf[(i-j)*(-1)-1];
    
    if(x->adapt)
    {
      x_2=0;
      
      // error computation
      e =d_[i] - x->tmp[i];
        
      // Normalized LMS Adaptmsation Algorithm
      // (split in the same way as above)
      //
      // c[n] = c[n-1] + mu/(alpha + x'[n]*x[n])*e[n]*x[n]
      // calc x'[n]*x[n]
      // TODO: Performance Optimization: save results from the past
      // so that this for loop should be obsolet ...
      for(j=0; j<x->N-tmp; j++)
        x_2 += x_[i-j] * x_[i-j];
      for(j=x->N-tmp; j<x->N; j++)
        x_2 += x->buf[(i-j)*(-1)-1] * x->buf[(i-j)*(-1)-1];
      
      for(j=0; j<x->N-tmp; j++)
        x->c[j] = x->c[j] + x->mu/(x->alpha+x_2) * x_[i-j] * e;
    
      for(j=x->N-tmp; j<x->N; j++)
        x->c[j] = x->c[j] + x->mu/(x->alpha+x_2) * x->buf[(i-j)*(-1)-1] * e;
    }
    
    //post("%d: in %f, d: %f, out: %f, error: %f, c1:%f, c2:%f", i, x_[i], d_[i], x->tmp[i], e, x->c[0], x->c[1]);
  }
  // store last samples for next audiobuffer
  for(i=0; i<x->N-1; i++)
    x->buf[i] = x_[n-1-i];
  
  // now write tmp to outlet
  while(n--)
    y_[n] = x->tmp[n];
  
  return (w+6);
}
static void nlms_tilde_dsp(t_nlms_tilde *x, t_signal **sp)
{
  // allocate new temp buffer if buffersize changes
  if(x->bufsize != sp[0]->s_n)
  {
    if(sp[0]->s_n < x->N)
      post("nlms~ WARNING: buffersize must be bigger than N, you will get wrong results !!!");
    
    if(x->tmp) freebytes(x->tmp, sizeof(t_sample) * x->bufsize);
    x->tmp = (t_sample *)getbytes(sizeof(t_sample) * sp[0]->s_n);
    
    x->bufsize =  sp[0]->s_n;
  }
  dsp_add(nlms_tilde_perform, 5, x, sp[0]->s_vec, sp[1]->s_vec, 
	  sp[2]->s_vec, sp[0]->s_n);
}
static void nlms_tilde_helper(void)
{
  post("\nnlms~: Adaptive transversal filter using normalized LMS");
  post("INPUT:");
  post("\tinlet1: input signal x[n]");
  post("\tinlet2: desired output signal d[n]");
  post("\tinit_arg1: number of coefficients of the adaptive system");
  post("\tinit_arg2, mu: step-size parameter (learning rate)");
  post("OUTPUT:");
  post("\toutlet1: output signal\n");
}
static void *nlms_tilde_new(t_symbol *s, int argc, t_atom *argv)
{
  t_nlms_tilde *x = (t_nlms_tilde *)pd_new(nlms_tilde_class);
  int i;
  
  // default values:
  x->N = 8;
  x->mu = 0.05;
  x->alpha = 0.0001;
  x->adapt = 0;
  x->tmp = NULL;
  x->bufsize = 0;
  
  switch(argc)
  {
    case 2:
      x->mu = atom_getfloat(argv+1);
    case 1:
      x->N = atom_getint(argv);
      x->N = (x->N<=0) ? 1 : x->N;
  }
  
  // allocate mem and init coefficients
  x->c = (t_float *)getbytes(sizeof(t_float) * x->N);
  for(i=0; i<x->N; i++)
    x->c[i] = 0;
  
  // allocate mem for temp buffer
  x->buf = (t_sample *)getbytes(sizeof(t_sample) * x->N-1);
  for(i=0; i<x->N-1; i++)
    x->buf[i] = 0;
  
  inlet_new(&x->x_obj, &x->x_obj.ob_pd, &s_signal, &s_signal);
  outlet_new(&x->x_obj, &s_signal);
  x->x_canvas = canvas_getcurrent();
  return (x);
}
static void nlms_tilde_free(t_nlms_tilde *x)
{
  if(x->c) freebytes(x->c, sizeof(t_float) * x->N);
  if(x->buf) freebytes(x->buf, sizeof(t_sample) * x->N-1);
  if(x->tmp) freebytes(x->tmp, sizeof(t_sample) * x->bufsize);
}
void nlms_tilde_setup(void)
{
  nlms_tilde_class = class_new(gensym("nlms~"), (t_newmethod)nlms_tilde_new, 
                    (t_method)nlms_tilde_free, sizeof(t_nlms_tilde), 
                    CLASS_DEFAULT, A_GIMME, 0);
  class_addmethod(nlms_tilde_class, (t_method)nlms_tilde_a,
                  gensym("adaptation"), A_DEFFLOAT, 0);
  class_addmethod(nlms_tilde_class, (t_method)nlms_tilde_geta,
                  gensym("getadaptation"), 0);
  class_addmethod(nlms_tilde_class, (t_method)nlms_tilde_mu, 
                  gensym("mu"), A_DEFFLOAT, 0);
  class_addmethod(nlms_tilde_class, (t_method)nlms_tilde_getmu,
                  gensym("getmu"), 0);
  class_addmethod(nlms_tilde_class, (t_method)nlms_tilde_alpha, 
                  gensym("alpha"), A_DEFFLOAT, 0);
  class_addmethod(nlms_tilde_class, (t_method)nlms_tilde_getalpha,
                  gensym("getalpha"), 0);
  class_addmethod(nlms_tilde_class, (t_method)nlms_tilde_getN,
                  gensym("getN"), 0);
  class_addmethod(nlms_tilde_class, (t_method)nlms_tilde_init,
                  gensym("init_unity"), 0);
  class_addmethod(nlms_tilde_class, (t_method)nlms_tilde_clear,
                  gensym("clear"), 0);
  class_addmethod(nlms_tilde_class, (t_method)nlms_tilde_print,
                  gensym("print"), 0);
  class_addmethod(nlms_tilde_class, (t_method)nlms_tilde_write, 
                  gensym("write"), A_DEFSYMBOL, 0);
  class_addmethod(nlms_tilde_class, (t_method)nlms_tilde_read, 
                  gensym("read"), A_DEFSYMBOL, 0);
  class_addmethod(nlms_tilde_class, (t_method)nlms_tilde_dsp, gensym("dsp"), 0);
  CLASS_MAINSIGNALIN(nlms_tilde_class, t_nlms_tilde, f);
  
  class_addmethod(nlms_tilde_class, (t_method)nlms_tilde_helper, gensym("help"), 0);
}
--- NEW FILE: makefile_mingw ---
current: all
.SUFFIXES: .dll
PDPATH = "c:/pd"
INCLUDE = -I. -I$(PDPATH)/src
LDFLAGS = --export-dynamic -shared
#select either the DBG and OPT compiler flags below:
CFLAGS = -DPD -DNT -W -Wno-unused -mms-bitfields\
	-Wno-parentheses -Wno-switch -O6 -funroll-loops -fomit-frame-pointer
SYSTEM = $(shell uname -m)
# the sources:
SRC = adaptive.c lms~.c lms2~.c nlms~.c nlms2~.c nlms3~.c
TARGET = adaptive.dll
OBJ = $(SRC:.c=.o)
#  ------------------ targets ------------------------------------
clean:
	rm -f *.a *.def *.o *.dll
all: $(OBJ)
	@echo :: $(OBJ)
	g++ $(LDFLAGS) -o $(TARGET) $(OBJ) $(PDPATH)/bin/pd.dll -libc
	strip --strip-unneeded $(TARGET)
	chmod 755 $(TARGET)
$(OBJ) : %.o : %.c
	touch $*.c
	gcc $(CFLAGS) $(INCLUDE) -c -o $*.o $*.c
install:
	cp $(TARGET) $(PDPATH)/externs
	cp ../doc/help-*.pd $(PDPATH)/doc/5.reference
--- NEW FILE: adaptive.c ---
/******************************************************
 *
 * Adaptive Systems for PD
 *
 * copyleft (c) Gerda Strobl, Georg Holzmann
 * 2005
 *
 * for complaints, suggestions: grh(a)mur.at
 *
 ******************************************************
 *
 * license: GNU General Public License v.2
 *
 ******************************************************/
#include "adaptive.h"
typedef struct _adaptive 
{
  t_object x_obj;
} t_adaptive;
t_class *adaptive_class;
static void adaptive_help(void)
{
  post("\n-----------------------------------------------");
  post("adaptive systems for PD");
  post("copyleft (c) Gerda Strobl, Georg Holzmann, 2005");
  post("");
  post("for more info look at the help patches!");
  post("-----------------------------------------------\n");
}
void *adaptive_new(void)
{
  t_adaptive *x = (t_adaptive *)pd_new(adaptive_class);
  return (void *)x;
}
//-----------------------------------------------------
// declaration of the setup functions:
void lms_tilde_setup();
void lms2_tilde_setup();
void nlms_tilde_setup();
void nlms2_tilde_setup();
void nlms3_tilde_setup();
//-end-of-declaration----------------------------------
void adaptive_setup(void) 
{
  //---------------------------------------------------
  // call all the setup functions:
  lms_tilde_setup();
  lms2_tilde_setup();
  nlms_tilde_setup();
  nlms2_tilde_setup();
  nlms3_tilde_setup();
  //-end-----------------------------------------------
  post("\nadaptive: 2005 by Gerda Strobl and Georg Holzmann");
 
  adaptive_class = class_new(gensym("adaptive"), adaptive_new, 0, sizeof(t_adaptive), 0, 0);
  class_addmethod(adaptive_class, (t_method)adaptive_help, gensym("help"), 0);
}
/* ---------------------- helpers ----------------------- */
void adaptation_write(const char *filename, t_int N, t_float mu, t_float *c)
{
  FILE *f=0;
  int i;
  // open file
  f = fopen(filename, "w");
  if(!f)
  {
    post("adaptive, save: error open file");
    return;
  }
  // write little header, number of coefficients and mu
  fprintf(f, "adaptivePD\n");
  fprintf(f, "size: %d\n", N);
  fprintf(f, "mu: %.30f\n", mu);
  
  // write coefficients
  for(i=0; i<N; i++)
    fprintf(f, "%.30f\n", c[i]);
  // close file
  if (f) fclose(f);
  post("adaptive, save: coefficients written to file");
}
void adaptation_read(const char *filename, t_int *N, t_float *mu, 
                     t_float *c, t_float *buf)
{
  FILE *f=0;
  int i, n=0;
  // open file
  f = fopen(filename, "r");
  if(!f)
  {
    post("adaptive, open: error open file");
    return;
  }
  
  // read header and nr of coefficients
  if ( fscanf(f,"adaptivePD\n") != 0) 
  {
    post("adaptive, open: error in reading file");
    return;
  }
  if ( fscanf(f,"size: %d\n",&n) != 1)
  {
    post("adaptive, open: error in reading file");
    return;
  };
  
  // change size of the filter if needed
  if(n != *N)
  {
    if(c) freebytes(c, sizeof(t_float) * (*N));
    if(buf) freebytes(buf, sizeof(t_sample) * (*N-1));
    
    *N = (n<=0) ? 1 : n;
   
    post("WARNING (adaptive): Nr. of coefficients is changed to %d!",*N);
     
    // allocate mem and init coefficients
    c = (t_float *)getbytes(sizeof(t_float) * (*N));
    
    // allocate mem for temp buffer
    buf = (t_sample *)getbytes(sizeof(t_sample) * (*N-1));
    for(i=0; i<(*N-1); i++)
      buf[i] = 0;
  }
  
  // read mu
  if ( fscanf(f,"mu: %f\n",mu) != 1)
  {
    post("adaptive, open: error in reading file");
    return;
  };
  // get coefficients:
  for(i=0; i<(*N); i++)
    if( fscanf(f, "%f\n", c+i) != 1)
    {
      post("adaptive, open: error in reading file");
      return;
    }
    //post("c_inside: %d",c);
  post("adaptive, read: coefficients readed from file");  
}
--- NEW FILE: nlms3~.c ---
/******************************************************
 *
 * Adaptive Systems for PD
 *
 * copyleft (c) Gerda Strobl, Georg Holzmann
 * 2005
 *
 * for complaints, suggestions: grh(a)mur.at
 *
 ******************************************************
 *
 * license: GNU General Public License v.2
 *
 ******************************************************/
#include "adaptive.h"
/* ------------------------ nlms3~ ------------------------- */
static t_class *nlms3_tilde_class;
typedef struct _nlms3
{
  t_object x_obj;
  t_float f;
  t_atom *coef;
  t_sample *buf;
  t_sample *xbuf;
  t_sample *in_tmp;
  t_sample *y_tmp;
  t_sample *e_tmp;
  t_int bufsize;
  t_outlet *c_out;
  int adapt; // enable/disable adaptation
  
  t_int N; //number of coefficients of the adaptive system
  t_float *c; // coefficients of the system
  t_float mu; // step-size parameter (learning rate)
  t_float alpha; // small constant to avoid division by zero
  t_canvas *x_canvas;
} t_nlms3_tilde;
static void nlms3_tilde_a(t_nlms3_tilde *x, t_floatarg f)
{
  x->adapt = (f==0) ? 0 : 1;
  
  if(!x->adapt)
  {
    int i;
    
    // clear temp buffers
    for(i=0; i<x->N-1; i++)
      x->buf[i] = 0;
    for(i=0; i<x->N-1; i++)
      x->xbuf[i] = 0;
  }
}
static void nlms3_tilde_geta(t_nlms3_tilde *x)
{
  if(x->adapt==0)
    post("nlms3~: adaptation is currently OFF");
  else
    post("nlms3~: adaptation is currently ON");
}
static void nlms3_tilde_mu(t_nlms3_tilde *x, t_floatarg f)
{
  x->mu = f;
}
static void nlms3_tilde_getmu(t_nlms3_tilde *x)
{
  post("mu (step-size parameter): %f", x->mu);
}
static void nlms3_tilde_alpha(t_nlms3_tilde *x, t_floatarg f)
{
  x->alpha = f;
}
static void nlms3_tilde_getalpha(t_nlms3_tilde *x)
{
  post("alpha: %f", x->alpha);
}
static void nlms3_tilde_getN(t_nlms3_tilde *x)
{
  post("N (number of coefficients): %d", x->N);
}
static void nlms3_tilde_clear(t_nlms3_tilde *x)
{
  int i;
  
  // clear coefficients
  for(i=0; i<x->N; i++)
    x->c[i] = 0;
  
  // clear temp buffers
  for(i=0; i<x->N-1; i++)
    x->buf[i] = 0;
  for(i=0; i<x->N-1; i++)
    x->xbuf[i] = 0;
}
static void nlms3_tilde_init(t_nlms3_tilde *x)
{
  int i;
  
  // set the first coefficient to 1, all others to 0
  // so this is a delay free transmission
  x->c[0] = 1;
  for(i=1; i<x->N; i++)
    x->c[i] = 0;
  
  // clear temp buffers
  for(i=0; i<x->N-1; i++)
    x->buf[i] = 0;
  for(i=0; i<x->N-1; i++)
    x->xbuf[i] = 0;
}
static void nlms3_tilde_print(t_nlms3_tilde *x)
{
  int i;
  
  // print coefficients
  post("\nNr. of coefficients: %d",x->N);
  post("coefficients:");
  for(i=0; i<x->N; i++)
    post("\t%d: %f",i,x->c[i]);
}
static void nlms3_tilde_write(t_nlms3_tilde *x, t_symbol *s)
{
  // make correct path
  char filnam[MAXPDSTRING];
  char filename[MAXPDSTRING];
  canvas_makefilename(x->x_canvas, s->s_name, filnam, MAXPDSTRING);
  sys_bashfilename(filnam, filename);
  // save to file
  adaptation_write(filename, x->N, x->mu, x->c);
}
static void nlms3_tilde_read(t_nlms3_tilde *x, t_symbol *s)
{
  // make correct path
  char filnam[MAXPDSTRING];
  char filename[MAXPDSTRING];
  int n = x->N;
  canvas_makefilename(x->x_canvas, s->s_name, filnam, MAXPDSTRING);
  sys_bashfilename(filnam, filename);
  
  // read file
  adaptation_read(filename, &x->N, &x->mu, x->c, x->buf);
  
  // if length changes:
  if(x->N != n)
  {
    if(x->coef) freebytes(x->coef, sizeof(t_atom) * x->N);
    x->coef = (t_atom *)getbytes(sizeof(t_atom) * x->N);
  }
}
static t_int *nlms3_tilde_perform(t_int *w)
{
  t_sample *in_ = (t_sample *)(w[1]);
  t_sample *x_  = (t_sample *)(w[2]);
  t_sample *d_  = (t_sample *)(w[3]);
  t_sample *out_= (t_sample *)(w[4]);
  t_sample *y_  = (t_sample *)(w[5]);
  t_sample *e_  = (t_sample *)(w[6]);
  int n = (int)(w[7]);
  t_nlms3_tilde *x = (t_nlms3_tilde *)(w[8]);
  int i, j, tmp;
  t_sample x_2;
  
  
  // calculate inlet2 (filter+adaptation)
  if(x->adapt)
  {
    for(i=0; i<n; i++)
    {
      x->y_tmp[i]=0;
      x_2=0;
    
      // y_[i] += x->c[j] * x_[i-j];
      // so lets split in two halfs, so that
      // negative indezes get samples from the
      // last audioblock (x->buf) ...
      tmp = (i+1 - x->N)*(-1);
      tmp = tmp<0 ? 0 : tmp;
    
      for(j=0; j<x->N-tmp; j++)
        x->y_tmp[i] += x->c[j] * x_[i-j];
    
      for(j=x->N-tmp; j<x->N; j++)
        x->y_tmp[i] += x->c[j] * x->xbuf[(i-j)*(-1)-1];
    
      // error computation
      x->e_tmp[i] = d_[i] - x->y_tmp[i];
        
      // Normalized LMS Adaptmsation Algorithm
      // (split in the same way as above)
      //
      // c[n] = c[n-1] + mu/(alpha + x'[n]*x[n])*e[n]*x[n]
      // calc x'[n]*x[n]
      for(j=0; j<x->N-tmp; j++)
        x_2 += x_[i-j] * x_[i-j];
      for(j=x->N-tmp; j<x->N; j++)
        x_2 += x->xbuf[(i-j)*(-1)-1] * x->xbuf[(i-j)*(-1)-1];
      
      for(j=0; j<x->N-tmp; j++)
        x->c[j] = x->c[j] + x->mu/(x->alpha+x_2) * x_[i-j] * x->e_tmp[i];
      for(j=x->N-tmp; j<x->N; j++)
        x->c[j] = x->c[j] + x->mu/(x->alpha+x_2) * x->xbuf[(i-j)*(-1)-1] * x->e_tmp[i];
    }
    
    // outlet coefficients
    for(i=0; i<x->N; i++)
      SETFLOAT(&x->coef[i],x->c[i]);
  
    outlet_list(x->c_out, &s_list, x->N, x->coef);
  
    // store last samples for next audiobuffer
    for(i=0; i<x->N-1; i++)
      x->xbuf[i] = x_[n-1-i];
  }
  
  
  // calculate filter output (inlet 1)
  for(i=0; i<n; i++)
  {
    x->in_tmp[i]=0;
    
    // y_[i] += x->c[j] * x_[i-j];
    // so lets split in two halfs, so that
    // negative indezes get samples from the
    // last audioblock (x->buf) ...
    tmp = (i+1 - x->N)*(-1);
    tmp = tmp<0 ? 0 : tmp;
    
    for(j=0; j<x->N-tmp; j++)
      x->in_tmp[i] += x->c[j] * in_[i-j];
    
    for(j=x->N-tmp; j<x->N; j++)
      x->in_tmp[i] += x->c[j] * x->buf[(i-j)*(-1)-1];
  }
  // store last samples for next audiobuffer
  for(i=0; i<x->N-1; i++)
    x->buf[i] = in_[n-1-i];
  
  
  // write to the outlets
  if(x->adapt)
  {
    while(n--)
    {
      out_[n] = x->in_tmp[n];
      y_[n] = x->y_tmp[n];
      e_[n] = x->e_tmp[n];
    }
  }
  else
  {
    while(n--)
    {
      out_[n] = x->in_tmp[n];
      y_[n] = 0;
      e_[n] = 0;
    }
  }
    
  return (w+9);
}
static void nlms3_tilde_dsp(t_nlms3_tilde *x, t_signal **sp)
{
  // allocate new temp buffer if buffersize changes
  if(x->bufsize != sp[0]->s_n)
  {
    if(sp[0]->s_n < x->N)
      post("nlms3~ WARNING: buffersize must be bigger than N, you will get wrong results !!!"); 
    
    if(x->in_tmp) freebytes(x->in_tmp, sizeof(t_sample) * x->bufsize);
    x->in_tmp = (t_sample *)getbytes(sizeof(t_sample) * sp[0]->s_n);
    
    if(x->y_tmp) freebytes(x->y_tmp, sizeof(t_sample) * x->bufsize);
    x->y_tmp = (t_sample *)getbytes(sizeof(t_sample) * sp[0]->s_n);
    
    if(x->e_tmp) freebytes(x->e_tmp, sizeof(t_sample) * x->bufsize);
    x->e_tmp = (t_sample *)getbytes(sizeof(t_sample) * sp[0]->s_n);
    
    x->bufsize =  sp[0]->s_n;
  }
  dsp_add(nlms3_tilde_perform, 8, sp[0]->s_vec, sp[1]->s_vec, 
          sp[2]->s_vec, sp[3]->s_vec, sp[4]->s_vec, 
          sp[5]->s_vec, sp[0]->s_n, x);
}
static void nlms3_tilde_helper(void)
{
  post("\nnlms3~: Adaptive transversal filter using normalized LMS");
  post("INPUT:");
  post("\tinlet1: input signal without adaptation, only filter");
  post("\tinlet2: input signal for adaptation x[n]");
  post("\tinlet3: desired output signal d[n]");
  post("\tinit_arg1: number of coefficients of the adaptive system");
  post("\tinit_arg2, mu: step-size parameter (learning rate)");
  post("OUTPUT:");
  post("\toutlet1: output signal from inlet1");
  post("\toutlet2: output signal from inlet2");
  post("\toutlet3: error signal e[n]");
  post("\toutlet4: coefficients c[n] (only per block)\n");
}
static void *nlms3_tilde_new(t_symbol *s, int argc, t_atom *argv)
{
  t_nlms3_tilde *x = (t_nlms3_tilde *)pd_new(nlms3_tilde_class);
  int i;
  
  // default values:
  x->N = 8;
  x->mu = 0.05;
  x->alpha = 0.000001;
  x->adapt = 0;
  x->in_tmp = NULL;
  x->y_tmp = NULL;
  x->e_tmp = NULL;
  x->bufsize = 0;
  
  switch(argc)
  {
    case 2:
      x->mu = atom_getfloat(argv+1);
    case 1:
      x->N = atom_getint(argv);
      x->N = (x->N<=0) ? 1 : x->N;
  }
  
  // allocate mem and init coefficients
  x->c = (t_float *)getbytes(sizeof(t_float) * x->N);
  for(i=0; i<x->N; i++)
    x->c[i] = 0;
  
  // allocate mem for temp buffers
  x->buf = (t_sample *)getbytes(sizeof(t_sample) * x->N-1);
  for(i=0; i<x->N-1; i++)
    x->buf[i] = 0;
  x->xbuf = (t_sample *)getbytes(sizeof(t_sample) * x->N-1);
  for(i=0; i<x->N-1; i++)
    x->xbuf[i] = 0;
  // for output atoms (coefficients):
  x->coef = (t_atom *)getbytes(sizeof(t_atom) * x->N);
  
  inlet_new(&x->x_obj, &x->x_obj.ob_pd, &s_signal, &s_signal);
  inlet_new(&x->x_obj, &x->x_obj.ob_pd, &s_signal, &s_signal);
  outlet_new(&x->x_obj, &s_signal);
  outlet_new(&x->x_obj, &s_signal);
  outlet_new(&x->x_obj, &s_signal);
  x->c_out = outlet_new(&x->x_obj, 0);
  x->x_canvas = canvas_getcurrent();
  return (x);
}
static void nlms3_tilde_free(t_nlms3_tilde *x)
{
  if(x->c) freebytes(x->c, sizeof(t_float) * x->N);
  if(x->buf) freebytes(x->buf, sizeof(t_sample) * x->N-1);
  if(x->xbuf) freebytes(x->xbuf, sizeof(t_sample) * x->N-1);
  if(x->in_tmp) freebytes(x->y_tmp, sizeof(t_sample) * x->bufsize);
  if(x->y_tmp) freebytes(x->y_tmp, sizeof(t_sample) * x->bufsize);
  if(x->e_tmp) freebytes(x->e_tmp, sizeof(t_sample) * x->bufsize);
  if(x->coef) freebytes(x->coef, sizeof(t_atom) * x->N);
}
void nlms3_tilde_setup(void)
{
  nlms3_tilde_class = class_new(gensym("nlms3~"), (t_newmethod)nlms3_tilde_new, 
                    (t_method)nlms3_tilde_free, sizeof(t_nlms3_tilde), 
                    CLASS_DEFAULT, A_GIMME, 0);
  class_addmethod(nlms3_tilde_class, (t_method)nlms3_tilde_a,
                  gensym("adaptation"), A_DEFFLOAT, 0);
  class_addmethod(nlms3_tilde_class, (t_method)nlms3_tilde_geta,
                  gensym("getadaptation"), 0);  
  class_addmethod(nlms3_tilde_class, (t_method)nlms3_tilde_mu, 
                  gensym("mu"), A_DEFFLOAT, 0);
  class_addmethod(nlms3_tilde_class, (t_method)nlms3_tilde_getmu,
                  gensym("getmu"), 0);
  class_addmethod(nlms3_tilde_class, (t_method)nlms3_tilde_alpha, 
                  gensym("alpha"), A_DEFFLOAT, 0);
  class_addmethod(nlms3_tilde_class, (t_method)nlms3_tilde_getalpha,
                  gensym("getalpha"), 0);
  class_addmethod(nlms3_tilde_class, (t_method)nlms3_tilde_getN,
                  gensym("getN"), 0);
  class_addmethod(nlms3_tilde_class, (t_method)nlms3_tilde_init,
                  gensym("init_unity"), 0);
  class_addmethod(nlms3_tilde_class, (t_method)nlms3_tilde_clear,
                  gensym("clear"), 0);
  class_addmethod(nlms3_tilde_class, (t_method)nlms3_tilde_print,
                  gensym("print"), 0);
  class_addmethod(nlms3_tilde_class, (t_method)nlms3_tilde_write, 
                  gensym("write"), A_DEFSYMBOL, 0);
  class_addmethod(nlms3_tilde_class, (t_method)nlms3_tilde_read, 
                  gensym("read"), A_DEFSYMBOL, 0);
  class_addmethod(nlms3_tilde_class, (t_method)nlms3_tilde_dsp, gensym("dsp"), 0);
  CLASS_MAINSIGNALIN(nlms3_tilde_class, t_nlms3_tilde, f);
  
  class_addmethod(nlms3_tilde_class, (t_method)nlms3_tilde_helper, gensym("help"), 0);
}
--- NEW FILE: adaptive.h ---
/******************************************************
 *
 * Adaptive Systems for PD
 *
 * copyleft (c) Gerda Strobl, Georg Holzmann
 * 2005
 *
 * for complaints, suggestions: grh(a)mur.at
 *
 ******************************************************
 *
 * license: GNU General Public License v.2
 *
 ******************************************************/
#ifndef __ADAPTIVE_H__
#define __ADAPTIVE_H__
#include "m_pd.h"
#include <stdio.h>
/* ---------------------- helpers ----------------------- */
// save all data to file
void adaptation_write(const char *filename, t_int N, t_float mu, t_float *c);
// read data from file
void adaptation_read(const char *filename, t_int *N, t_float *mu, 
                     t_float *c, t_float *buf);
#endif  //__ADAPTIVE_H__
--- NEW FILE: nlms2~.c ---
/******************************************************
 *
 * Adaptive Systems for PD
 *
 * copyleft (c) Gerda Strobl, Georg Holzmann
 * 2005
 *
 * for complaints, suggestions: grh(a)mur.at
 *
 ******************************************************
 *
 * license: GNU General Public License v.2
 *
 ******************************************************/
#include "adaptive.h"
/* ------------------------ nlms2~ ------------------------- */
static t_class *nlms2_tilde_class;
typedef struct _nlms2
{
  t_object x_obj;
  t_float f;
  t_atom *coef;
  t_sample *buf;
  t_sample *y_tmp;
  t_sample *e_tmp;
  t_int bufsize;
  t_outlet *c_out;
  int adapt; // enable/disable adaptation
  
  t_int N; //number of coefficients of the adaptive system
  t_float *c; // coefficients of the system
  t_float mu; // step-size parameter (learning rate)
  t_float alpha; // small constant to avoid division by zero
  t_canvas *x_canvas;
} t_nlms2_tilde;
static void nlms2_tilde_a(t_nlms2_tilde *x, t_floatarg f)
{
  x->adapt = (f==0) ? 0 : 1;
}
static void nlms2_tilde_geta(t_nlms2_tilde *x)
{
  if(x->adapt==0)
    post("nlms2~: adaptation is currently OFF");
  else
    post("nlms2~: adaptation is currently ON");
}
static void nlms2_tilde_mu(t_nlms2_tilde *x, t_floatarg f)
{
  x->mu = f;
}
static void nlms2_tilde_getmu(t_nlms2_tilde *x)
{
  post("mu (step-size parameter): %f", x->mu);
}
static void nlms2_tilde_alpha(t_nlms2_tilde *x, t_floatarg f)
{
  x->alpha = f;
}
static void nlms2_tilde_getalpha(t_nlms2_tilde *x)
{
  post("alpha: %f", x->alpha);
}
static void nlms2_tilde_getN(t_nlms2_tilde *x)
{
  post("N (number of coefficients): %d", x->N);
}
static void nlms2_tilde_clear(t_nlms2_tilde *x)
{
  int i;
  
  // clear coefficients
  for(i=0; i<x->N; i++)
    x->c[i] = 0;
  
  // clear temp buffer
  for(i=0; i<x->N-1; i++)
    x->buf[i] = 0;
}
static void nlms2_tilde_init(t_nlms2_tilde *x)
{
  int i;
  
  // set the first coefficient to 1, all others to 0
  // so this is a delay free transmission
  x->c[0] = 1;
  for(i=1; i<x->N; i++)
    x->c[i] = 0;
  
  // clear temp buffers
  for(i=0; i<x->N-1; i++)
    x->buf[i] = 0;
}
static void nlms2_tilde_print(t_nlms2_tilde *x)
{
  int i;
  
  // print coefficients
  post("\nNr. of coefficients: %d",x->N);
  post("coefficients:");
  for(i=0; i<x->N; i++)
    post("\t%d: %f",i,x->c[i]);
}
static void nlms2_tilde_write(t_nlms2_tilde *x, t_symbol *s)
{
  // make correct path
  char filnam[MAXPDSTRING];
  char filename[MAXPDSTRING];
  canvas_makefilename(x->x_canvas, s->s_name, filnam, MAXPDSTRING);
  sys_bashfilename(filnam, filename);
  // save to file
  adaptation_write(filename, x->N, x->mu, x->c);
}
static void nlms2_tilde_read(t_nlms2_tilde *x, t_symbol *s)
{
  // make correct path
  char filnam[MAXPDSTRING];
  char filename[MAXPDSTRING];
  int n = x->N;
  canvas_makefilename(x->x_canvas, s->s_name, filnam, MAXPDSTRING);
  sys_bashfilename(filnam, filename);
  
  // read file
  adaptation_read(filename, &x->N, &x->mu, x->c, x->buf);
  
  // if length changes:
  if(x->N != n)
  {
    if(x->coef) freebytes(x->coef, sizeof(t_atom) * x->N);
    x->coef = (t_atom *)getbytes(sizeof(t_atom) * x->N);
  }
}
static t_int *nlms2_tilde_perform(t_int *w)
{
  t_sample *x_ = (t_sample *)(w[1]);
  t_sample *d_ = (t_sample *)(w[2]);
  t_sample *y_ = (t_sample *)(w[3]);
  t_sample *e_ = (t_sample *)(w[4]);
  int n = (int)(w[5]);
  t_nlms2_tilde *x = (t_nlms2_tilde *)(w[6]);
  int i, j, tmp;
  t_sample x_2;
  
  
  for(i=0; i<n; i++)
  {
    // calc output (filter)
    
    x->y_tmp[i]=0;
    
    // y_[i] += x->c[j] * x_[i-j];
    // so lets split in two halfs, so that
    // negative indezes get samples from the
    // last audioblock (x->buf) ...
    tmp = (i+1 - x->N)*(-1);
    tmp = tmp<0 ? 0 : tmp;
    
    for(j=0; j<x->N-tmp; j++)
      x->y_tmp[i] += x->c[j] * x_[i-j];
    
    for(j=x->N-tmp; j<x->N; j++)
      x->y_tmp[i] += x->c[j] * x->buf[(i-j)*(-1)-1];
    
    if(x->adapt)
    {
      x_2=0;
      
      // error computation
      x->e_tmp[i] = d_[i] - x->y_tmp[i];
        
      // Normalized LMS Adaptmsation Algorithm
      // (split in the same way as above)
      //
      // c[n] = c[n-1] + mu/(alpha + x'[n]*x[n])*e[n]*x[n]
      // calc x'[n]*x[n]
      for(j=0; j<x->N-tmp; j++)
        x_2 += x_[i-j] * x_[i-j];
      for(j=x->N-tmp; j<x->N; j++)
        x_2 += x->buf[(i-j)*(-1)-1] * x->buf[(i-j)*(-1)-1];
      
      for(j=0; j<x->N-tmp; j++)
        x->c[j] = x->c[j] + x->mu/(x->alpha+x_2) * x_[i-j] * x->e_tmp[i];
    
      for(j=x->N-tmp; j<x->N; j++)
        x->c[j] = x->c[j] + x->mu/(x->alpha+x_2) * x->buf[(i-j)*(-1)-1] * x->e_tmp[i];
    }
    else x->e_tmp[i] = 0;
    
    //post("%d: in %f, d: %f, out: %f, e: %f, c1:%f, c2:%f", i, x_[i], d_[i], x->y_tmp[i], x->e_tmp[i], x->c[0], x->c[1]);
  }
  // outlet coefficients
  for(i=0; i<x->N; i++)
    SETFLOAT(&x->coef[i],x->c[i]);
  
  outlet_list(x->c_out, &s_list, x->N, x->coef);
  
  // store last samples for next audiobuffer
  for(i=0; i<x->N-1; i++)
    x->buf[i] = x_[n-1-i];
  
  // now write to outlets
  while(n--)
  {
    y_[n] = x->y_tmp[n];
    e_[n] = x->e_tmp[n];
  }
  
  return (w+7);
}
static void nlms2_tilde_dsp(t_nlms2_tilde *x, t_signal **sp)
{
  // allocate new temp buffer if buffersize changes
  if(x->bufsize != sp[0]->s_n)
  {
    if(sp[0]->s_n < x->N)
      post("nlms2~ WARNING: buffersize must be bigger than N, you will get wrong results !!!");
    
    if(x->y_tmp) freebytes(x->y_tmp, sizeof(t_sample) * x->bufsize);
    x->y_tmp = (t_sample *)getbytes(sizeof(t_sample) * sp[0]->s_n);
    
    if(x->e_tmp) freebytes(x->e_tmp, sizeof(t_sample) * x->bufsize);
    x->e_tmp = (t_sample *)getbytes(sizeof(t_sample) * sp[0]->s_n);
    
    x->bufsize =  sp[0]->s_n;
  }
  dsp_add(nlms2_tilde_perform, 6, sp[0]->s_vec, sp[1]->s_vec, 
          sp[2]->s_vec, sp[3]->s_vec, sp[0]->s_n, x);
}
static void nlms2_tilde_helper(void)
{
  post("\nnlms2~: Adaptive transversal filter using normalized LMS");
  post("INPUT:");
  post("\tinlet1: input signal x[n]");
  post("\tinlet2: desired output signal d[n]");
  post("\tinit_arg1: number of coefficients of the adaptive system");
  post("\tinit_arg2, mu: step-size parameter (learning rate)");
  post("OUTPUT:");
  post("\toutlet1: output signal");
  post("\toutlet2: error signal e[n]");
  post("\toutlet3: coefficients c[n] (only per block)\n");
}
static void *nlms2_tilde_new(t_symbol *s, int argc, t_atom *argv)
{
  t_nlms2_tilde *x = (t_nlms2_tilde *)pd_new(nlms2_tilde_class);
  int i;
  
  // default values:
  x->N = 8;
  x->mu = 0.05;
  x->alpha = 0.0001;
  x->adapt = 0;
  x->y_tmp = NULL;
  x->e_tmp = NULL;
  x->bufsize = 0;
  
  switch(argc)
  {
    case 2:
      x->mu = atom_getfloat(argv+1);
    case 1:
      x->N = atom_getint(argv);
      x->N = (x->N<=0) ? 1 : x->N;
  }
  
  // allocate mem and init coefficients
  x->c = (t_float *)getbytes(sizeof(t_float) * x->N);
  for(i=0; i<x->N; i++)
    x->c[i] = 0;
  
  // allocate mem for temp buffer
  x->buf = (t_sample *)getbytes(sizeof(t_sample) * x->N-1);
  for(i=0; i<x->N-1; i++)
    x->buf[i] = 0;
  // for output atoms (coefficients):
  x->coef = (t_atom *)getbytes(sizeof(t_atom) * x->N);
  
  inlet_new(&x->x_obj, &x->x_obj.ob_pd, &s_signal, &s_signal);
  outlet_new(&x->x_obj, &s_signal);
  outlet_new(&x->x_obj, &s_signal);
  x->c_out = outlet_new(&x->x_obj, 0);
  x->x_canvas = canvas_getcurrent();
  return (x);
}
static void nlms2_tilde_free(t_nlms2_tilde *x)
{
  if(x->c) freebytes(x->c, sizeof(t_float) * x->N);
  if(x->buf) freebytes(x->buf, sizeof(t_sample) * x->N-1);
  if(x->y_tmp) freebytes(x->y_tmp, sizeof(t_sample) * x->bufsize);
  if(x->e_tmp) freebytes(x->e_tmp, sizeof(t_sample) * x->bufsize);
  if(x->coef) freebytes(x->coef, sizeof(t_atom) * x->N);
}
void nlms2_tilde_setup(void)
{
  nlms2_tilde_class = class_new(gensym("nlms2~"), (t_newmethod)nlms2_tilde_new, 
                    (t_method)nlms2_tilde_free, sizeof(t_nlms2_tilde), 
                    CLASS_DEFAULT, A_GIMME, 0);
  class_addmethod(nlms2_tilde_class, (t_method)nlms2_tilde_a,
                  gensym("adaptation"), A_DEFFLOAT, 0);
  class_addmethod(nlms2_tilde_class, (t_method)nlms2_tilde_geta,
                  gensym("getadaptation"), 0);
  class_addmethod(nlms2_tilde_class, (t_method)nlms2_tilde_mu, 
                  gensym("mu"), A_DEFFLOAT, 0);
  class_addmethod(nlms2_tilde_class, (t_method)nlms2_tilde_getmu,
                  gensym("getmu"), 0);
  class_addmethod(nlms2_tilde_class, (t_method)nlms2_tilde_alpha, 
                  gensym("alpha"), A_DEFFLOAT, 0);
  class_addmethod(nlms2_tilde_class, (t_method)nlms2_tilde_getalpha,
                  gensym("getalpha"), 0);
  class_addmethod(nlms2_tilde_class, (t_method)nlms2_tilde_getN,
                  gensym("getN"), 0); 
  class_addmethod(nlms2_tilde_class, (t_method)nlms2_tilde_init,
                  gensym("init_unity"), 0);
  class_addmethod(nlms2_tilde_class, (t_method)nlms2_tilde_clear,
                  gensym("clear"), 0);
  class_addmethod(nlms2_tilde_class, (t_method)nlms2_tilde_print,
                  gensym("print"), 0);
  class_addmethod(nlms2_tilde_class, (t_method)nlms2_tilde_write, 
                  gensym("write"), A_DEFSYMBOL, 0);
  class_addmethod(nlms2_tilde_class, (t_method)nlms2_tilde_read, 
                  gensym("read"), A_DEFSYMBOL, 0);
  class_addmethod(nlms2_tilde_class, (t_method)nlms2_tilde_dsp, gensym("dsp"), 0);
  CLASS_MAINSIGNALIN(nlms2_tilde_class, t_nlms2_tilde, f);
  
  class_addmethod(nlms2_tilde_class, (t_method)nlms2_tilde_helper, gensym("help"), 0);
}
--- NEW FILE: makefile ---
current: all
.SUFFIXES: .pd_linux
# make sure that the "m_pd.h" is somehow available either by putting it into this
# directory, by adding it's path to the INCLUDE-path or by putting it into an
# already included path, e.g. "/usr/include/"
INCLUDE = -I. -I/usr/include/
PDPATH = /usr/lib/pd
LDFLAGS = -export-dynamic -shared
#select either the DBG and OPT compiler flags below:
CFLAGS = -DPD -DUNIX -W -Wno-unused \
	-Wno-parentheses -Wno-switch -O6 -funroll-loops -fomit-frame-pointer
SYSTEM = $(shell uname -m)
# the sources:
SRC = adaptive.c lms~.c lms2~.c nlms~.c nlms2~.c nlms3~.c
TARGET = adaptive.pd_linux
OBJ = $(SRC:.c=.o)
#  ------------------ targets ------------------------------------
clean:
	rm -f *.o *.pd_linux
all: $(OBJ)
	@echo :: $(OBJ)
	ld $(LDFLAGS) -o $(TARGET) $(OBJ)
	strip --strip-unneeded $(TARGET)
$(OBJ) : %.o : %.c
	touch $*.c
	cc $(CFLAGS) $(INCLUDE) -c -o $*.o $*.c
install:
	cp $(TARGET) $(PDPATH)/externs
	cp ../doc/help-*.pd $(PDPATH)/doc/5.reference
--- NEW FILE: lms2~.c ---
/******************************************************
 *
 * Adaptive Systems for PD
 *
 * copyleft (c) Gerda Strobl, Georg Holzmann
 * 2005
 *
 * for complaints, suggestions: grh(a)mur.at
 *
 ******************************************************
 *
 * license: GNU General Public License v.2
 *
 ******************************************************/
#include "adaptive.h"
/* ------------------------ lms2~ ------------------------- */
static t_class *lms2_tilde_class;
typedef struct _lms2
{
  t_object x_obj;
  t_float f;
  t_atom *coef;
  t_sample *buf;
  t_sample *y_tmp;
  t_sample *e_tmp;
  t_int bufsize;
  t_outlet *c_out;
  int adapt; // enable/disable adaptation
  
  t_int N; //number of coefficients of the adaptive system
  t_float *c; // coefficients of the system
  t_float mu; // step-size parameter (learning rate)
  t_canvas *x_canvas;
} t_lms2_tilde;
static void lms2_tilde_a(t_lms2_tilde *x, t_floatarg f)
{
  x->adapt = (f==0) ? 0 : 1;
}
static void lms2_tilde_geta(t_lms2_tilde *x)
{
  if(x->adapt==0)
    post("lms2~: adaptation is currently OFF");
  else
    post("lms2~: adaptation is currently ON");
}
static void lms2_tilde_mu(t_lms2_tilde *x, t_floatarg f)
{
  x->mu = f;
}
static void lms2_tilde_getmu(t_lms2_tilde *x)
{
  post("mu (step-size parameter): %f", x->mu);
}
static void lms2_tilde_getN(t_lms2_tilde *x)
{
  post("N (number of coefficients): %d", x->N);
}
static void lms2_tilde_clear(t_lms2_tilde *x)
{
  int i;
  
  // clear coefficients
  for(i=0; i<x->N; i++)
    x->c[i] = 0;
  
  // clear temp buffer
  for(i=0; i<x->N-1; i++)
    x->buf[i] = 0;
}
static void lms2_tilde_init(t_lms2_tilde *x)
{
  int i;
  
  // set the first coefficient to 1, all others to 0
  // so this is a delay free transmission
  x->c[0] = 1;
  for(i=1; i<x->N; i++)
    x->c[i] = 0;
  
  // clear temp buffers
  for(i=0; i<x->N-1; i++)
    x->buf[i] = 0;
}
static void lms2_tilde_print(t_lms2_tilde *x)
{
  int i;
  
  // print coefficients
  post("\nNr. of coefficients: %d",x->N);
  post("coefficients:");
  for(i=0; i<x->N; i++)
    post("\t%d: %f",i,x->c[i]);
}
static void lms2_tilde_write(t_lms2_tilde *x, t_symbol *s)
{
  // make correct path
  char filnam[MAXPDSTRING];
  char filename[MAXPDSTRING];
  canvas_makefilename(x->x_canvas, s->s_name, filnam, MAXPDSTRING);
  sys_bashfilename(filnam, filename);
  // save to file
  adaptation_write(filename, x->N, x->mu, x->c);
}
static void lms2_tilde_read(t_lms2_tilde *x, t_symbol *s)
{
  // make correct path
  char filnam[MAXPDSTRING];
  char filename[MAXPDSTRING];
  int n = x->N;
  canvas_makefilename(x->x_canvas, s->s_name, filnam, MAXPDSTRING);
  sys_bashfilename(filnam, filename);
  
  // read file
  adaptation_read(filename, &x->N, &x->mu, x->c, x->buf);
  
  // if length changes:
  if(x->N != n)
  {
    if(x->coef) freebytes(x->coef, sizeof(t_atom) * x->N);
    x->coef = (t_atom *)getbytes(sizeof(t_atom) * x->N);
  }
}
static t_int *lms2_tilde_perform(t_int *w)
{
  t_sample *x_ = (t_sample *)(w[1]);
  t_sample *d_ = (t_sample *)(w[2]);
  t_sample *y_ = (t_sample *)(w[3]);
  t_sample *e_ = (t_sample *)(w[4]);
  int n = (int)(w[5]);
  t_lms2_tilde *x = (t_lms2_tilde *)(w[6]);
  int i, j, tmp;
  
  for(i=0; i<n; i++)
  {
    // calc output (filter)
        
    x->y_tmp[i]=0;
    
    // y_[i] += x->c[j] * x_[i-j];
    // so lets split in two halfs, so that
    // negative indezes get samples from the
    // last audioblock (x->buf) ...
    
    tmp = (i+1 - x->N)*(-1);
    tmp = tmp<0 ? 0 : tmp;
    
    for(j=0; j<x->N-tmp; j++)
      x->y_tmp[i] += x->c[j] * x_[i-j];
    
    for(j=x->N-tmp; j<x->N; j++)
      x->y_tmp[i] += x->c[j] * x->buf[(i-j)*(-1)-1];
    if(x->adapt)
    {
      // error computation
      x->e_tmp[i] = d_[i] - x->y_tmp[i];
        
      // coefficient adaptation
      // (split in the same way as above)
    
      for(j=0; j<x->N-tmp; j++)
        x->c[j] = x->c[j] + x->mu * x_[i-j] * x->e_tmp[i];
    
      for(j=x->N-tmp; j<x->N; j++)
        x->c[j] = x->c[j] + x->mu * x->buf[(i-j)*(-1)-1] * x->e_tmp[i];
    }
    else x->e_tmp[i] = 0;
        
    //post("%d: in %f, d: %f, out: %f, e: %f, c1:%f, c2:%f", i, x_[i], d_[i], x->y_tmp[i], x->e_tmp[i], x->c[0], x->c[1]);
  }
  
  // outlet coefficients
  for(i=0; i<x->N; i++)
    SETFLOAT(&x->coef[i],x->c[i]);
  
  outlet_list(x->c_out, &s_list, x->N, x->coef);
  
  // store last samples for next audiobuffer
  for(i=0; i<x->N-1; i++)
    x->buf[i] = x_[n-1-i];
  
  // now write tmps to outlets
  while(n--)
  {
    y_[n] = x->y_tmp[n];
    e_[n] = x->e_tmp[n];
  }
   
  return (w+7);
}
static void lms2_tilde_dsp(t_lms2_tilde *x, t_signal **sp)
{
  // allocate new temp buffer if buffersize changes
  if(x->bufsize != sp[0]->s_n)
  {
    if(sp[0]->s_n < x->N)
      post("lms2~ WARNING: buffersize must be bigger than N, you will get wrong results !!!");
    
    if(x->y_tmp) freebytes(x->y_tmp, sizeof(t_sample) * x->bufsize);
    x->y_tmp = (t_sample *)getbytes(sizeof(t_sample) * sp[0]->s_n);
    
    if(x->e_tmp) freebytes(x->e_tmp, sizeof(t_sample) * x->bufsize);
    x->e_tmp = (t_sample *)getbytes(sizeof(t_sample) * sp[0]->s_n);
    
    x->bufsize =  sp[0]->s_n;
  }
  
  dsp_add(lms2_tilde_perform, 6, sp[0]->s_vec, sp[1]->s_vec, 
          sp[2]->s_vec, sp[3]->s_vec, sp[0]->s_n, x);
}
static void lms2_tilde_helper(void)
{
  post("\nlms2~: Adaptive transversal filter using LMS (for algorithm analysis)");
  post("INPUT:");
  post("\tinlet1: input signal x[n]");
  post("\tinlet2: desired output signal d[n]");
  post("\tinit_arg1: number of coefficients of the adaptive system");
  post("\tinit_arg2, mu: step-size parameter (learning rate)");
  post("OUTPUT:");
  post("\toutlet1: output signal y[n]");
  post("\toutlet2: error signal e[n]");
  post("\toutlet3: coefficients c[n] (only per block)\n");
}
static void *lms2_tilde_new(t_symbol *s, int argc, t_atom *argv)
{
  t_lms2_tilde *x = (t_lms2_tilde *)pd_new(lms2_tilde_class);
  int i;
  
  // default values:
  x->N = 8;
  x->mu = 0.05;
  x->adapt = 0;
  x->y_tmp = NULL;
  x->e_tmp = NULL;
  x->bufsize = 0;
  
  switch(argc)
  {
    case 2:
      x->mu = atom_getfloat(argv+1);
    case 1:
      x->N = atom_getint(argv);
      x->N = (x->N<=0) ? 1 : x->N;
  }
  
  // allocate mem and init coefficients
  x->c = (t_float *)getbytes(sizeof(t_float) * x->N);
  for(i=0; i<x->N; i++)
    x->c[i] = 0;
  
  // allocate mem for temp buffer
  x->buf = (t_float *)getbytes(sizeof(t_float) * x->N-1);
  for(i=0; i<x->N-1; i++)
    x->buf[i] = 0;
  
  // for output atoms (coefficients):
  x->coef = (t_atom *)getbytes(sizeof(t_atom) * x->N);
  
  inlet_new(&x->x_obj, &x->x_obj.ob_pd, &s_signal, &s_signal);
  outlet_new(&x->x_obj, &s_signal);
  outlet_new(&x->x_obj, &s_signal);
  x->c_out = outlet_new(&x->x_obj, 0);
  
  x->x_canvas = canvas_getcurrent();
  return (x);
}
static void lms2_tilde_free(t_lms2_tilde *x)
{
  if(x->c) freebytes(x->c, sizeof(t_float) * x->N);
  if(x->buf) freebytes(x->buf, sizeof(t_sample) * x->N-1);
  if(x->y_tmp) freebytes(x->y_tmp, sizeof(t_sample) * x->bufsize);
  if(x->e_tmp) freebytes(x->e_tmp, sizeof(t_sample) * x->bufsize);
  if(x->coef) freebytes(x->coef, sizeof(t_atom) * x->N);
}
void lms2_tilde_setup(void)
{
  lms2_tilde_class = class_new(gensym("lms2~"), (t_newmethod)lms2_tilde_new, 
                    (t_method)lms2_tilde_free, sizeof(t_lms2_tilde), 
                    CLASS_DEFAULT, A_GIMME, 0);
  class_addmethod(lms2_tilde_class, (t_method)lms2_tilde_a,
                  gensym("adaptation"), A_DEFFLOAT, 0);
  class_addmethod(lms2_tilde_class, (t_method)lms2_tilde_geta,
                  gensym("getadaptation"), 0);
  class_addmethod(lms2_tilde_class, (t_method)lms2_tilde_mu, 
                  gensym("mu"), A_DEFFLOAT, 0);
  class_addmethod(lms2_tilde_class, (t_method)lms2_tilde_getmu,
                  gensym("getmu"), 0);
  class_addmethod(lms2_tilde_class, (t_method)lms2_tilde_getN,
                  gensym("getN"), 0);
  class_addmethod(lms2_tilde_class, (t_method)lms2_tilde_init,
                  gensym("init_unity"), 0);
  class_addmethod(lms2_tilde_class, (t_method)lms2_tilde_clear,
                  gensym("clear"), 0);
  class_addmethod(lms2_tilde_class, (t_method)lms2_tilde_print,
                  gensym("print"), 0);
  class_addmethod(lms2_tilde_class, (t_method)lms2_tilde_write, 
                  gensym("write"), A_DEFSYMBOL, 0);
  class_addmethod(lms2_tilde_class, (t_method)lms2_tilde_read, 
                  gensym("read"), A_DEFSYMBOL, 0);
  class_addmethod(lms2_tilde_class, (t_method)lms2_tilde_dsp, gensym("dsp"), 0);
  CLASS_MAINSIGNALIN(lms2_tilde_class, t_lms2_tilde, f);
  
  class_addmethod(lms2_tilde_class, (t_method)lms2_tilde_helper, gensym("help"), 0);
}
--- NEW FILE: makefile_msvc ---
current: all
TARGET = adaptive.dll
VIS_CPP_PATH = "C:\Programme\Microsoft Visual Studio\Vc98"
PD_INST_PATH = "C:\pd"
SRC = adaptive.c lms~.c lms2~.c nlms~.c nlms2~.c nlms3~.c
PD_WIN_INCLUDE_PATH = /I. /I$(PD_INST_PATH)\src /I$(VIS_CPP_PATH)\include
PD_WIN_C_FLAGS = /W3 /WX /DNT /DPD /nologo
PD_WIN_L_FLAGS = /nologo
PD_WIN_LIB = $(VIS_CPP_PATH)\lib\libc.lib \
	$(VIS_CPP_PATH)\lib\oldnames.lib \
	$(VIS_CPP_PATH)\lib\kernel32.lib \
	$(PD_INST_PATH)\bin\pd.lib
OBJ = $(SRC:.c=.obj)
.c.obj:
	cl $(PD_WIN_C_FLAGS) $(PD_WIN_INCLUDE_PATH) /c $*.c
all: $(OBJ)
	link $(PD_WIN_L_FLAGS) /dll /export:adaptive_setup \
	/out:$(TARGET) $(OBJ) $(PD_WIN_LIB)
	del *.obj *.lib *.exp
clean:
	del *.obj *.dll *.lib *.exp
install:
	copy *.dll $(PD_INST_PATH)\externs
	copy ..\doc\*.pd $(PD_INST_PATH)\doc\5.reference