Hi Scott, i'm not quite sure what the problem is, but a few remarks on these things:
- the block size (= the length of the inupt and output vectors) can be
different from 64...according to the setting of a block~ object in the patcher 2) the input and output arrays can point to the same locations.. that means that once you have filled the output array, the input data is lost. I think, there is a switch to have separate arrays, though... must be somewhere with class setup. 3) if you want to grab a fixed amount of 256 samples for some fft stuff you will have to reserve some extra space for fft input and transformed data.
You start with empty fft in and transformed data. In every dsp perform function you copy the signal input to the fft in buffer. The transformed data is still zero, hence the signal output will be zero. At some time the fft in buffer is filled. You can then do the transformation and start copying this output data into the signal output. Your fft input is again empty, so you start filling it again.... Once understood, it isn't difficult.
hope that helps, greetings, Thomas
----- Original Message ----- From: "J. Scott Hildebrand" jshildebrand@ucdavis.edu To: "Frank Barknecht" barknech@ph-cip.uni-koeln.de Cc: pd-list@iem.kug.ac.at Sent: Wednesday, August 21, 2002 11:52 PM Subject: Re: [PD] convolution code error
here's a pd concept i do no understand: first take a look at thiscode >>>
t_float lsum = 0.0; t_float rsum = 0.0;
lsum = *in1++; rsum = *in2++; *out1++ = lsum; *out2++ = rsum;
if i have this in my while(n--) loop inside the perform function, then it takes input audio and just sends it back out. it works. i don't understand how the input and output arrays work though. i thought that in and out were actually arrays with 64 samples in each. right here what i'm doing is taking one sample with lsum and rsum, and then i'm spitting the output out, and then doing the while loop again. right? what exactly is happening? and then what do i need to do to collect 256 samples into an array and then use that in my convolution scheme? thanks!
scott
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