?? tfrpmh.m
字號:
function [tfr,t,f] = tfrpmh(x,t,N,h,trace);%TFRPMH Pseudo Margenau-Hill time-frequency distribution.% [TFR,T,F]=TFRPMH(X,T,N,H,TRACE) computes the Pseudo Margenau-Hill % distribution of a discrete-time signal X, or the% cross Pseudo Margenau-Hill representation between two signals. % % X : signal if auto-PMH, or [X1,X2] if cross-PMH.% T : time instant(s) (default : 1:length(X)).% N : number of frequency bins (default : length(X)).% H : frequency smoothing window, 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, TFRPMH runs TFRQVIEW.% F : vector of normalized frequencies.%% Example :% sig=fmlin(128,0.1,0.4); t=1:128; % h=tftb_window(63,'Kaiser'); tfrpmh(sig,t,128,h,1);% % 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 % f.auger@ieee.org[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 = tftb_window(hlength); trace=0;elseif (nargin == 2 | nargin == 3), h = tftb_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), %(rem(log(N)/log(2),1)~=0), 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 Margenau-Hill distribution'); end;for icol=1:tcol, ti= t(icol); tau=-min([round(N/2)-1,Lh,xrow-ti]):min([round(N/2)-1,Lh,ti-1]); indices= rem(N+tau,N)+1; if trace, disprog(icol,tcol,10); end; tfr(indices,icol)=h(Lh+1+tau).*x(ti,1).*conj(x(ti-tau,xcol));end; if trace, fprintf('\n'); end;tfr= real(fft(tfr)); if (nargout==0), tfrqview(tfr,x,t,'tfrpmh',h);elseif (nargout==3), if rem(N,2)==0, f=[0:N/2-1 -N/2:-1]'/N; else f=[0:(N-1)/2 -(N-1)/2:-1]'/N; end;end;
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