From sources-request at octave dot org Wed Oct 13 13:31:12 2004
Subject: Unidentified subject!
From: dgun at umpire dot com
To: octave-dev at lists dot sourceforge dot net,         octave sources mailing list <sources@octave.org>
Date: Wed, 13 Oct 2004 13:07:32 -0500

(It seems the octave-dev list is very quiet, so I'm also sending this to the
octave-help list.)

[And I'm resending it to the sources list, since that is appropriate
for posting source code additions to Octave.  --jwe]

The czt function was not working, so I implemented it correctly.  At a
minimum, a correct czt should pass this test:

x=rand(1000,1);
y1=fft(x);
y2=czt(x);
max(abs(y1-y2)) # should be a very small number

Also fixed the documentation.

Will someone put this in the cvs?  Thanks.

- DG

## Copyright (C) 2004 Daniel Gunyan
##
## 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 2 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, write to the Free Software
## Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA

## usage y=czt(x, m, w, a)
##
## Chirp z-transform.  Compute the frequency response starting at a and
## stepping by w for m steps.  a is a point in the complex plane, and
## w is the ratio between points in each step (i.e., radius increases
## exponentially, and angle increases linearly).
##
## To evaluate the frequency response for the range f1 to f2 in a signal
## with sampling frequency Fs, use the following:
##     m = 32;                               ## number of points desired
##     w = exp(-j*2*pi*(f2-f1)/((m-1)*Fs));  ## freq. step of f2-f1/m
##     a = exp(j*2*pi*f1/Fs);                ## starting at frequency f1
##     y = czt(x, m, w, a);
##
## If you don't specify them, then the parameters default to a fourier 
## transform:
##     m=length(x), w=exp(-j*2*pi/m), a=1
##
## If x is a matrix, the transform will be performed column-by-column.

## Algorithm (based on Oppenheim and Schafer, "Discrete-Time Signal
## Processing", pp. 623-628):
##   make chirp of length -N+1 to max(N-1,M-1)
##     chirp => w^([-N+1:max(N-1,M-1)]^2/2)
##   multiply x by chirped a and by N-elements of chirp, and call it g
##   convolve g with inverse chirp, and call it gg
##     pad ffts so that multiplication works
##     ifft(fft(g)*fft(1/chirp))
##   multiply gg by M-elements of chirp and call it done

function y = czt(x, m, w, a)
  if nargin < 1 || nargin > 4, usage("y=czt(x, m, w, a)"); endif

  [row, col] = size(x);
  if row == 1, x = x(:); col = 1; endif

  if nargin < 2 || isempty(m), m = length(x(:,1)); endif
  if length(m) > 1, error("czt: m must be a single element\n"); endif
  if nargin < 3 || isempty(w), w = exp(-2*j*pi/m); endif
  if nargin < 4 || isempty(a), a = 1; endif
  if length(w) > 1, error("czt: w must be a single element\n"); endif
  if length(a) > 1, error("czt: a must be a single element\n"); endif

  ## indexing to make the statements a little more compact
  n = length(x(:,1));
  N = [0:n-1]'+n;
  NM = [-(n-1):(m-1)]'+n;
  M = [0:m-1]'+n;

  nfft = 2^nextpow2(n+m-1); # fft pad
  W2 = w.^(([-(n-1):max(m-1,n-1)]'.^2)/2); # chirp

  for idx = 1:col
    fg = fft(x(:,idx).*(a.^-(N-n)).*W2(N), nfft);
    fw = fft(1./W2(NM), nfft);
    gg = ifft(fg.*fw, nfft);

    y(:,idx) = gg(M).*W2(M);
  endfor

  if row == 1, y = y.'; endif
endfunction

-- 
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