--- /dev/null
+## Copyright (C) 2008 Eric Chassande-Mottin, CNRS (France) <ecm@apc.univ-paris7.fr>
+##
+## This program is free software; you can redistribute it and/or modify it under
+## the terms of the GNU General Public License as published by the Free Software
+## Foundation; either version 3 of the License, or (at your option) any later
+## version.
+##
+## This program is distributed in the hope that it will be useful, but WITHOUT
+## ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
+## FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
+## details.
+##
+## You should have received a copy of the GNU General Public License along with
+## this program; if not, see <http://www.gnu.org/licenses/>.
+
+## -*- texinfo -*-
+## @deftypefn {Function File} {[@var{y} @var{h}]=} resample(@var{x},@var{p},@var{q})
+## @deftypefnx {Function File} {@var{y} =} resample(@var{x},@var{p},@var{q},@var{h})
+## Change the sample rate of @var{x} by a factor of @var{p}/@var{q}. This is
+## performed using a polyphase algorithm. The impulse response @var{h} of the antialiasing
+## filter is either specified or either designed with a Kaiser-windowed sinecard.
+##
+## Ref [1] J. G. Proakis and D. G. Manolakis,
+## Digital Signal Processing: Principles, Algorithms, and Applications,
+## 4th ed., Prentice Hall, 2007. Chap. 6
+##
+## Ref [2] A. V. Oppenheim, R. W. Schafer and J. R. Buck,
+## Discrete-time signal processing, Signal processing series,
+## Prentice-Hall, 1999
+## @end deftypefn
+
+function [y, h] = resample( x, p, q, h )
+
+ if nargchk(3,4,nargin)
+ print_usage;
+ elseif any([p q]<=0) || any([p q]~=floor([p q])),
+ error("resample.m: p and q must be positive integers");
+ endif
+
+ ## simplify decimation and interpolation factors
+
+ great_common_divisor=gcd(p,q);
+ if (great_common_divisor>1)
+ p=p/great_common_divisor;
+ q=q/great_common_divisor;
+ endif
+
+ ## filter design if required
+
+ if (nargin < 4)
+
+ ## properties of the antialiasing filter
+
+ log10_rejection = -3.0;
+ stopband_cutoff_f = 1.0/(2.0 * max(p,q));
+ roll_off_width = stopband_cutoff_f / 10.0;
+
+ ## determine filter length
+ ## use empirical formula from [2] Chap 7, Eq. (7.63) p 476
+
+ rejection_dB = -20.0*log10_rejection;
+ L = ceil((rejection_dB-8.0) / (28.714 * roll_off_width));
+
+ ## ideal sinc filter
+
+ t=(-L:L)';
+ ideal_filter=2*p*stopband_cutoff_f*sinc(2*stopband_cutoff_f*t);
+
+ ## determine parameter of Kaiser window
+ ## use empirical formula from [2] Chap 7, Eq. (7.62) p 474
+
+ if ((rejection_dB>=21) && (rejection_dB<=50))
+ beta = 0.5842 * (rejection_dB-21.0)^0.4 + 0.07886 * (rejection_dB-21.0);
+ elseif (rejection_dB>50)
+ beta = 0.1102 * (rejection_dB-8.7);
+ else
+ beta = 0.0;
+ endif
+
+ ## apodize ideal filter response
+
+ h=kaiser(2*L+1,beta).*ideal_filter;
+
+ endif
+
+ ## check if input is a row vector
+ isrowvector=false;
+ if ((rows(x)==1) && (columns(x)>1))
+ x=x(:);
+ isrowvector=true;
+ endif
+
+ ## check if filter is a vector
+ if ~isvector(h)
+ error("resample.m: the filter h should be a vector");
+ endif
+
+ Lx = rows(x);
+ Lh = length(h);
+ L = ( Lh - 1 )/2.0;
+ Ly = ceil(Lx*p/q);
+
+ ## pre and postpad filter response
+
+ nz_pre = floor(q-mod(L,q));
+ hpad = prepad(h,Lh+nz_pre);
+
+ offset = floor((L+nz_pre)/q);
+ nz_post = 0;
+ while ceil( ( (Lx-1)*p + nz_pre + Lh + nz_post )/q ) - offset < Ly
+ nz_post++;
+ endwhile
+ hpad = postpad(hpad,Lh + nz_pre + nz_post);
+
+ ## filtering
+ xfilt = upfirdn(x,hpad,p,q);
+ y = xfilt(offset+1:offset+Ly,:);
+
+ if isrowvector,
+ y=y.';
+ endif
+
+endfunction
+
+%!test
+%! N=512;
+%! p=3; q=5;
+%! r=p/q;
+%! NN=ceil(r*N);
+%! t=0:N-1;
+%! tt=0:NN-1;
+%! err=zeros(N/2,1);
+%! for n = 0:N/2-1,
+%! phi0=2*pi*rand;
+%! f0=n/N;
+%! x=sin(2*pi*f0*t' + phi0);
+%! [y,h]=resample(x,p,q);
+%! xx=sin(2*pi*f0/r*tt' + phi0);
+%! t0=ceil((length(h)-1)/2/q);
+%! idx=t0+1:NN-t0;
+%! err(n+1)=max(abs(y(idx)-xx(idx)));
+%! endfor;
+%! rolloff=.1;
+%! rejection=10^-3;
+%! idx_inband=1:ceil((1-rolloff/2)*r*N/2)-1;
+%! assert(max(err(idx_inband))<rejection);
+
+%!test
+%! N=512;
+%! p=3; q=5;
+%! r=p/q;
+%! NN=ceil(r*N);
+%! t=0:N-1;
+%! tt=0:NN-1;
+%! reject=zeros(N/2,1);
+%! for n = 0:N/2-1,
+%! phi0=2*pi*rand;
+%! f0=n/N;
+%! x=sin(2*pi*f0*t' + phi0);
+%! [y,h]=resample(x,p,q);
+%! xx=sin(2*pi*f0/r*tt' + phi0);
+%! t0=ceil((length(h)-1)/2/q);
+%! idx=t0+1:NN-t0;
+%! reject(n+1)=max(abs(y(idx)));
+%! endfor;
+%! rolloff=.1;
+%! rejection=10^-3;
+%! idx_stopband=ceil((1+rolloff/2)*r*N/2)+1:N/2;
+%! assert(max(reject(idx_stopband))<=rejection);
+
+%!test
+%! N=1024;
+%! p=2; q=7;
+%! r=p/q;
+%! NN=ceil(r*N);
+%! t=0:N-1;
+%! tt=0:NN-1;
+%! err=zeros(N/2,1);
+%! for n = 0:N/2-1,
+%! phi0=2*pi*rand;
+%! f0=n/N;
+%! x=sin(2*pi*f0*t' + phi0);
+%! [y,h]=resample(x,p,q);
+%! xx=sin(2*pi*f0/r*tt' + phi0);
+%! t0=ceil((length(h)-1)/2/q);
+%! idx=t0+1:NN-t0;
+%! err(n+1)=max(abs(y(idx)-xx(idx)));
+%! endfor;
+%! rolloff=.1;
+%! rejection=10^-3;
+%! idx_inband=1:ceil((1-rolloff/2)*r*N/2)-1;
+%! assert(max(err(idx_inband))<rejection);