## Copyright (C) 1994, 1995, 1996, 1997, 1999, 2000, 2002, 2005, 2006,
##               2007 John W. Eaton
##
## This file is part of Octave.
##
## Octave 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.
##
## Octave 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 Octave; see the file COPYING.  If not, see
## <http://www.gnu.org/licenses/>.

## -*- texinfo -*-
## @deftypefn {Function File} {[@var{h}, @var{w}] =} freqz (@var{b}, @var{a}, @var{n}, "whole")
## Return the complex frequency response @var{h} of the rational IIR filter
## whose numerator and denominator coefficients are @var{b} and @var{a},
## respectively.  The response is evaluated at @var{n} angular frequencies
## between 0 and
## @ifinfo
##  2*pi.
## @end ifinfo
## @iftex
## @tex
##  $2\pi$.
## @end tex
## @end iftex
##
## @noindent
## The output value @var{w} is a vector of the frequencies.
##
## If the fourth argument is omitted, the response is evaluated at
## frequencies between 0 and
## @ifinfo
##  pi.
## @end ifinfo
## @iftex
## @tex
##  $\pi$.
## @end tex
## @end iftex
##
## If @var{n} is omitted, a value of 512 is assumed.
##
## If @var{a} is omitted, the denominator is assumed to be 1 (this
## corresponds to a simple FIR filter).
##
## For fastest computation, @var{n} should factor into a small number of
## small primes.
##
## @deftypefnx {Function File} {@var{h} =} freqz (@var{b}, @var{a}, @var{w})
## Evaluate the response at the specific frequencies in the vector @var{w}.
## The values for @var{w} are measured in radians.
##
## @deftypefnx {Function File} {[@dots{}] =} freqz (@dots{}, @var{Fs})
## Return frequencies in Hz instead of radians assuming a sampling rate
## @var{Fs}.  If you are evaluating the response at specific frequencies 
## @var{w}, those frequencies should be requested in Hz rather than radians.
##
## @deftypefnx {Function File} {} freqz (@dots{})
## Plot the pass band, stop band and phase response of @var{h} rather
## than returning them.
## @end deftypefn

## Author: jwe ???

function [h_r, f_r] = freqz (b, a, n, region, Fs)

  if (nargin < 1 || nargin > 5)
    print_usage ();
  elseif (nargin == 1)
    ## Response of an FIR filter.
    a = n = region = Fs = [];
  elseif (nargin == 2)
    ## Response of an IIR filter
    n = region = Fs = [];
  elseif (nargin == 3)
    region = Fs = [];
  elseif (nargin == 4)
    Fs = [];
    if (! ischar (region) && ! isempty (region))
      Fs = region; 
      region = [];
    endif
  endif

  if (isempty (b))
    b = 1;
  endif
  if (isempty (a)) 
    a = 1; 
  endif
  if (isempty (n))
    n = 512; 
  endif
  if (isempty (region))
    if (isreal (b) && isreal (a))
      region = "half";
    else
      region = "whole";
    endif
  endif
  if (isempty (Fs)) 
    if (nargout == 0) 
      Fs = 2; 
    else 
      Fs = 2*pi; 
    endif
  endif

  a = a(:);
  b = b(:);

  if (! isscalar (n)) ## Explicit frequency vector given
    w = f = n;
    if (nargin == 4)  ## Sampling rate Fs was specified
      w = 2*pi*f/Fs;
    endif
    k = max (length (b), length (a));
    hb = polyval (postpad (b, k), exp (j*w));
    ha = polyval (postpad (a, k), exp (j*w));
  elseif (strcmp (region, "whole"))
    f = Fs * (0:n-1)' / n;
    ## polyval(fliplr(P),exp(jw)) is O(p n) and fft(x) is O(n log(n)),
    ## where p is the order of the polynomial P.  For small p it
    ## would be faster to use polyval but in practice the overhead for
    ## polyval is much higher and the little bit of time saved isn't
    ## worth the extra code.
    hb = fft (postpad (b, n));
    ha = fft (postpad (a, n));
  else
    f = Fs/2 * (0:n-1)' / n;
    hb = fft (postpad (b, 2*n))(1:n);
    ha = fft (postpad (a, 2*n))(1:n);
  endif

  h = hb ./ ha;

  if (nargout != 0), # return values and don't plot
    h_r = h;
    f_r = f;
  else             # plot and don't return values
    freqz_plot (f, h);
  endif

endfunction

%!test # correct values and fft-polyval consistency
%! # butterworth filter, order 2, cutoff pi/2 radians
%! b = [0.292893218813452  0.585786437626905  0.292893218813452];
%! a = [1  0  0.171572875253810];
%! [h,w] = freqz(b,a,32);
%! assert(h(1),1,10*eps);
%! assert(abs(h(17)).^2,0.5,10*eps);
%! assert(h,freqz(b,a,w),10*eps); # fft should be consistent with polyval

%!test # whole-half consistency
%! b = [1 1 1]/3; # 3-sample average
%! [h,w] = freqz(b,1,32,'whole');
%! assert(h(2:16),conj(h(32:-1:18)),20*eps);
%! [h2,w2] = freqz(b,1,16,'half');
%! assert(h(1:16),h2,20*eps);
%! assert(w(1:16),w2,20*eps);

%!test # Sampling frequency properly interpreted
%! b = [1 1 1]/3; a = [1 0.2];
%! [h,f] = freqz(b,a,16,320);
%! assert(f,[0:15]'*10,10*eps);
%! [h2,f2] = freqz(b,a,[0:15]*10,320);
%! assert(f2,[0:15]*10,10*eps);
%! assert(h,h2.',20*eps);
%! [h3,f3] = freqz(b,a,32,'whole',320);
%! assert(f3,[0:31]'*10,10*eps);
