tfrpwv.m

WVD变换的matlab工具包

function [tfr,t,f] = tfrpwv(x,t,N,h,trace);
%TFRPWV	Pseudo Wigner-Ville time-frequency distribution.
%	[TFR,T,F]=TFRPWV(X,T,N,H,TRACE) computes the Pseudo Wigner-Ville  
%	distribution of a discrete-time signal X, or the
%	cross Pseudo Wigner-Ville representation between two signals. 
% 
%	X     : signal if auto-PWV, or [X1,X2] if cross-PWV.
%	T     : time instant(s)          (default : 1:length(X)).
%	N     : number of frequency bins (default : length(X)).
%	H     : frequency smoothing window, in the time-domain,
%		H(0) being forced to 1   (default : Hamming(N/4)). 
%	TRACE : if nonzero, the progression of the algorithm is shown
%	                                 (default : 0).
%	TFR   : time-frequency representation. When called without 
%	        output arguments, TFRPWV runs TFRQVIEW.
%	F     : vector of normalized frequencies.
%
%	Example:
%	 sig=fmlin(128,0.1,0.4); tfrpwv(sig);
% 
%	See also  all the time-frequency representations listed in
%	 the file CONTENTS (TFR*)

%	F. Auger, May-August 1994, July 1995.
%	Copyright (c) 1996 by CNRS (France).
%
%	------------------- CONFIDENTIAL PROGRAM -------------------- 
%	This program can not be used without the authorization of its
%	author(s). For any comment or bug report, please send e-mail to 
%	[e-mail]

[xrow,xcol] = size(x);
if (nargin < 1),
 error('At least 1 parameter is required');
elseif (nargin <= 2),
 N=xrow;
end;

hlength=floor(N/4);
hlength=hlength+1-rem(hlength,2);

if (nargin == 1),
 t=1:xrow; h = window(hlength); trace=0;
elseif (nargin == 2)|(nargin == 3),
 h = window(hlength); trace=0;
elseif (nargin == 4),
 trace = 0;
end;

if (N<0),
 error('N must be greater than zero');
end;
[trow,tcol] = size(t);
if (xcol==0) | (xcol>2),
 error('X must have one or two columns');
elseif (trow~=1),
 error('T must only have one row'); 
elseif (2^nextpow2(N)~=N & nargin==5),
 fprintf('For a faster computation, N should be a power of two\n');
end; 

[hrow,hcol]=size(h); Lh=(hrow-1)/2; h=h/h(Lh+1);
if (hcol~=1)|(rem(hrow,2)==0),
 error('H must be a smoothing window with odd length');
end;

tfr= zeros (N,tcol) ;  
if trace, disp('Pseudo Wigner-Ville distribution'); end;
for icol=1:tcol,
 ti= t(icol); taumax=min([ti-1,xrow-ti,round(N/2)-1,Lh]);
 tau=-taumax:taumax; indices= rem(N+tau,N)+1;
 tfr(indices,icol) = h(Lh+1+tau).*x(ti+tau,1).*conj(x(ti-tau,xcol));
 tau=round(N/2); 
 if (ti<=xrow-tau)&(ti>=tau+1)&(tau<=Lh),
  tfr(tau+1,icol) = 0.5 * (h(Lh+1+tau) * x(ti+tau,1) * conj(x(ti-tau,xcol))  + ...
                           h(Lh+1-tau) * x(ti-tau,1) * conj(x(ti+tau,xcol))) ;
 end;
 if trace, disprog(icol,tcol,10); end;
end; 

tfr= fft(tfr); 
if (xcol==1), tfr=real(tfr); end ;

if (nargout<=1),
 tfrqview(tfr,x,t,'tfrpwv',h);
elseif (nargout==3),
 f=(0.5*(0:N-1)/N)';
end;