Hi, list, I've finished analyzing the tabread4~ interpolation formula. It's a real work of art, because it has a great low-pass characteristic, has an efficient factorization, and has no phase shift. I want to apply the tabread4~ scheme whenever the playback speed is less than or equal to 1, and for higher speeds, use an time-dilated verson of the original polynomial as the low-pass characteristic to prevent aliasing. The interpolation polynomial from tabread4~ , g(t) is a piecewise continuous polynomial function, non-zero between -2 and 2. You can view the tabread4~ impulse response with an attached patch, view_tabread4~_impulse_response.pd and see for yourself what it looks like

g(t)= { 1/6*(x+1)(x+2)(x+3) on [-2,-1) -1/2*(x+2)(x+1)(x-1) on [-1,0) 1/2*(x-2)(x+1)(x-1) on [0,1) and -1/6*(x-1)(x-2)(x-3) on [1,2]

This function has several ways to be written

g(t)= { 1/6*t^3 + t^2 + 11/6*t + 1 -1/2*t^3 - t^2 +1/2*t + 1 1/2*t^3 - t^2 -1/2*t + 1 -1/6*t^3 + t^2 - 11/6*t + 1

using the absolute value function |-1| = 1 and the indicator function Ia,b={ 1 if a<t<b, 0 otherwise example, I-2,-2= 1 if -2<t<2, 0 if t<-2 or t>2

g(t)=I-2,2(-1/6*|t|^3 - 2*t^2 - 11/6*|t| + 1) + I-1,1(2/3*|t|^3 - 2*t^2 + 4/3*|t|)

This last factorization is especially compact, and allowed easier computation of the fourier transform: G(w)=integral( from t= -2 to 2, g(t)*e^(-iwt) ) G(w)=(1/w^2)*[1/3*cos(2w) - 4/3*cos(w) + 1] + (1/w^4)*[2*cos(2w)

• 8*cos(w) + 6]

where w is in radians per second I checked that in the limit as w->0, G(w)->1, which is good

And the filter, G(w) has pretty good rejection characteristics, I'd say. G(pi)= exactly 0.5, which is -3 dB. The stopband attenuation is at most, 1/w^2 which would mean -6 dB per octave, I think.

An external can be made that will preserve these frequency characteristics roughly during playback at higher speeds. This would need to be implemented using convolution. The tabread4~ formula is an efficient way to calculate c(t) c(t) the continuous, interpolated function, as a function of input signal s(t) (sampled at some frequency) and (1/k)*g(t/k) the table-lookup interpolation formula, for a playback at speed k>1

s(t) is a sum of kronecker delta functions, multiplied by the sampled function values and (1/k)*g(t/k) is the function where g(t) is made longer by factor of k and is reduced in amplitude by factor k

c(t)=s(t) convolved with (1/k)*g(t/k) Then, we can evaluate c(t) at each of the points at the input of tabread I would recommend that it be coded using circular convolution, making a finite sum at each point. Since we only need to evaluate c(t) at the points specified as input

g(t/k) is zero if outside of -2*k < t < 2*k, so we would have to evaluate g(t) at no more than (4*k + 1) points, per sample on the whole block

I think, it's possible to make an anti-aliasing table read. Would it take better stopband attenuation than -6db/octave to be a good anti-aliasing filter?

Chuck