📄 tfrview.m
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function tfrview(tfr,sig,t,method,param,p1,p2,p3,p4,p5);
%TFRVIEW Visualization of time-frequency representations.
% TFRVIEW(TFR,SIG,T,METHOD,PARAM,P1,P2,P3,P4,P5)
% allows to visualize a time-frequency representation.
% TFRVIEW is called through TFRQVIEW from any TFR* function.
%
% TFR : time-frequency representation.
% SIG : signal in the time-domain.
% T : time instants.
% METHOD : chosen representation (name of the corresponding M-file)
% PARAM : visualization parameter vector :
% PARAM = [DISPLAY LINLOG THRESHOLD LEVNUMB NF2 LAYOUT FS ISGRID] where
% DISPLAY=1..5 for contour, imagesc, pcolor, surf or mesh
% LINLOG =0/1 for linearly/logarithmically spaced levels
%
% THRESHOLD is the visualization threshold, in %
% LEVELNUMB is the number of levels used with contour
% NF2 is the number of frequency bins displayed
% LAYOUT determines the layout of the figure : TFR alone (1),
% TFR and SIG (2), TFR and spectrum (3), TFR and SIG and
% spectrum (4), add 4 if you want a colorbar
% FS is the sampling frequency (may be set to 1.0)
% ISGRID depends on the grids' presence :
% isgrid=isgridsig+2*isgridspec+4*isgridtfr
% where isgridsig=1 if a grid is present on the signal
% and =0 if not, and so on
% P1..P5: parameters of the representation. Run the file
% TFRPARAM(METHOD) to know the meaning of P1..P5.
%
% TFRVIEW is called through TFRQVIEW by any file TFR*.
%
% Use TFRQVIEW preferably.
% ------------------------
%
% See also TFRQVIEW, TFRPARAM.
% F. Auger, July 1994, July 1995 -
% O. Lemoine, October-November 1995, May-June 1996.
% F. Auger, May 1998.
% Copyright (c) CNRS - France 1996.
%
% ------------------- 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
comp=computer; % so as to know the running computer
MatlabVersion=version; MatlabVersion=str2num(MatlabVersion(1));
% I hope that future Matlab versions will be more compatible
if (MatlabVersion==4),
TickLabelStr='TickLabels';
elseif (MatlabVersion==5),
TickLabelStr='Ticklabel';
else
error('unsupported matlab version. please send an email.');
end;
if ( nargin < 5 ),
error ('at least 5 parameters are required');
end;
[tfrrow,tfrcol] = size(tfr); % the size of tfr
[trow,tcol] = size(t); % the size of t
[Nsig,Ncol] = size(sig); % the size of sig
maxi=max(max(tfr));
% Extraction of the elements of param
display = param(1); % contour, imagesc, pcolor, surf, or mesh
linlog = param(2); % linear or logarithmic scale
threshold = param(3); % visualization threshold
levelnumb = param(4); % number of levels
Nf2 = param(5); % number of frequency points
layout = param(6); % figure layout
fs = param(7); % sampling frequency
isgrid = param(8); % grid(s)
if fs<1000, unitHz=1; % display in s and Hz
elseif (fs>=1e3 & fs<1e6), fs=fs/1e3; unitHz=2; % display in ms and kHz
elseif (fs>=1e6), fs=fs/1e6; unitHz=3; % display in us and MHz
end
linlogtfr=rem(linlog,2);
linlogspec=rem(linlog-linlogtfr,4)/2;
sigenveloppe=rem(linlog-linlogtfr-linlogspec*2,8)/4;
issig=rem(layout-1,2);
isspec=rem(layout-1-issig,4)/2;
iscolorbar=rem(layout-1-issig-isspec*2,8)/4;
if isempty(sig), % I can't make miracles
issig=0; isspec=0; layout=issig+isspec*2+1;
else
layout=layout-4*iscolorbar;
end;
isgridsig =rem(isgrid,2);
isgridspec=rem(isgrid-isgridsig,4)/2;
isgridtfr =rem(isgrid-isgridsig-isgridspec*2,8)/4;
% Computation of isaffine and freq (vector of frequency samples)
if istfraff(method),
freq=eval(['p',num2str(nargin-5)]); % last input argument is freqs.
isaffine=1;
if display==2, % imagesc not allowed
display=3; % non linear scales for the axes.
disp('Imagesc does not support non-linear scales for axes. We use pcolor instead');
end
else
isaffine=0; % weyl-heisenberg group of distributions
freq=(0.5*(0:Nf2-1)/Nf2); % dispaly only the positive frequencies
end
freqr=freq*fs; ts=t/fs; % real time and frequency
% Update variables mini, levels, LinLogStr according to linlog
if ~linlogtfr,
if (display==4)|(display==5), % surf or mesh
mini=min(min(tfr));
else
mini=max(min(min(tfr)),maxi*threshold/100.0);
end
levels=linspace(mini,maxi,levelnumb+1);
LinLogStr=', lin. scale';
else
mini=max(min(min(tfr)),maxi*threshold/100.0);
levels=logspace(log10(mini),log10(maxi),levelnumb+1);
LinLogStr=', log. scale';
end;
% Initialization of the current figure
zoom off; clf;
set(gcf,'Resize','On','NextPlot','Add');
% Initialization of the axes
if iscolorbar,
axcb = axes('Units','normal','Visible','off','Box','On');
set(gcf,'UserData',[get(gcf,'UserData') axcb]);
end;
if issig,
axsig = axes('Units','normal','Visible','off','Box','On');
if comp(1:2)=='PC', set(axsig ,'fontsize',10); end
set(gcf,'UserData',[get(gcf,'UserData') axsig]);
end;
if isspec,
axspec = axes('Units','normal','Visible','off','Box','On');
if comp(1:2)=='PC', set(axspec,'fontsize',10); end;
set(gcf,'UserData',[get(gcf,'UserData') axspec]);
end;
axtfr = axes('Units','normal','Visible','off','Box','On');
if comp(1:2)=='PC', set(axtfr ,'fontsize',10); end
set(gcf,'UserData',[get(gcf,'UserData') axtfr]);
% Test of analycity and computation of spec
if ~isempty(sig),
for k=1:Ncol,
isana=1; alpha=2; Lt=max(t)-min(t)+1;
if 2*Nf2>=Lt,
spec(:,k)=abs(fft(sig(min(t):max(t),k),2*Nf2)).^2;
else
% modifications : F. Auger (fog), 30/11/97
Nb_tranches_fog = floor(Lt/(2*Nf2));
% fprintf('%f \n',Nb_tranches_fog);
spec(:,k)=zeros(2*Nf2,1);
for Num_tranche_fog=0:Nb_tranches_fog-1,
% fprintf('%f \n',Num_tranche_fog);
spec(:,k)=spec(:,k)+abs(fft(sig(min(t)+2*Nf2*Num_tranche_fog+(0:2*Nf2-1),k))).^2;
end;
if (Lt>Nb_tranches_fog*2*Nf2),
spectre_fog=fft(sig(min(t)+tfrrow*Nb_tranches_fog:max(t),k),2*Nf2);
spectre_fog=spectre_fog(:);
spec(:,k)=spec(:,k)+abs(spectre_fog).^2;
end;
% sp=abs(fft(sig(min(t):max(t),k))).^2;
% fr1=(0.5*(0:Lt-1)/Lt)*fs;
% fr2=(0.5*(0:2*Nf2-1)/2/Nf2)*fs;
% spec(:,k)=interp1(fr1,sp,fr2);
end
spec1=sum(spec(1:Nf2,k));
spec2=sum(spec(Nf2+1:2*Nf2,k));
if spec2>spec1/10,
isana=0;
if ~isreal(sig(min(t):max(t),k)),
alpha=1;
end
end
end
end
if layout==1, % Time-Frequency Representation only
set(axtfr,'Position',[0.10 0.10 0.80 0.80]);
elseif layout==2, % TFR + Signal
set(axtfr,'Position',[0.10 0.10 0.80 0.55]);
set(axsig,'Position',[0.10 0.73 0.80 0.20]);
axes(axsig);
if sigenveloppe,
plot((min(t):max(t))/fs,real(sig(min(t):max(t),:)),...
(min(t):max(t))/fs, abs(sig(min(t):max(t),:)));
else
plot((min(t):max(t))/fs,real(sig(min(t):max(t),:)));
end;
set(gca,['X' TickLabelStr],[]);
ylabel('Real part');
title('Signal in time');
Min=min(min(real(sig))); Max=max(max(real(sig)));
axis([min(ts) max(ts) Min Max]);
elseif layout==3, % TFR + spectrum
set(axspec,'Position',[0.10 0.10 0.15 0.80]);
set(axtfr ,'Position',[0.35 0.10 0.55 0.80]);
axes(axspec);
if isaffine,
f1=freqr(1); f2=freqr(Nf2); df=f2-f1;
Nf4=round((Nf2-1)*fs/(2*df))+1;
for k=1:Ncol,
spec(1:alpha*Nf4,k)=abs(fft(sig(min(t):max(t),k),alpha*Nf4)).^2;
end
spec=spec((round(f1*2*(Nf4-1)/fs)+1):(round(f1*2*(Nf4-1)/fs)+Nf2),:);
freqs=linspace(f1,f2,Nf2);
else
freqs=freqr;
spec=spec(1:Nf2,:);
end
Maxsp=max(max(spec));
if linlogspec==0,
plot(freqs,spec);
title('Linear scale');
set(gca,'ytick',[0 round(Maxsp/2) round(Maxsp)]);
set(gca,'Ylim',[0 Maxsp*1.2]);
else
plot(freqs,10*log10(spec/Maxsp));
title('Log. scale [dB]');
set(gca,'ytick',[fix(10^(log10(Maxsp)/2));fix(Maxsp)]);
str1=[' ']; str2=[' '];
st1=num2str(fix(10*log10(Maxsp)/2)); str1(1:length(st1))=st1;
st2=num2str(fix(10*log10(Maxsp))); str2(1:length(st2))=st2;
set(axspec,['Y' TickLabelStr],[str1;str2]);
set(gca,'Ylim',[10*log10(min(min(spec))/Maxsp) 0]);
end
xlabel('Energy spectral density');
Nsp=length(spec);
set(gca,'Xlim',[freqs(1) freqs(Nsp)],...
['X' TickLabelStr],[],'view',[-90 90]);
elseif layout==4, % TFR + signal + spectrum
set(axspec,'Position',[0.10 0.10 0.15 0.55]);
set(axsig ,'Position',[0.35 0.73 0.55 0.20]);
set(axtfr ,'Position',[0.35 0.10 0.55 0.55]);
axes(axsig);
if sigenveloppe,
plot((min(t):max(t))/fs,real(sig(min(t):max(t),:)),...
(min(t):max(t))/fs, abs(sig(min(t):max(t),:)));
else
plot((min(t):max(t))/fs,real(sig(min(t):max(t),:)));
end;
ylabel('Real part');
title('Signal in time');
set(gca,['X' TickLabelStr],[]);
Min=min(min(real(sig))); Max=max(max(real(sig)));
axis([min(ts) max(ts) Min Max]);
axes(axspec);
if isaffine,
% IF YOU UNDERSTAND SOMETHING TO THAT, PLEASE EXPLAIN ME (f. auger)
% f1=freqr(1); f2=freqr(Nf2); df=f2-f1;
% Nf4=round((Nf2-1)*fs/(2*df))+1;
% for k=1:Ncol,
% spec(1:alpha*Nf4,k)=abs(fft(sig(min(t):max(t),k),alpha*Nf4)).^2;
% end
% spec=spec((round(f1*2*(Nf4-1)/fs)+1):(round(f1*2*(Nf4-1)/fs)+Nf2),:);
% freqs=linspace(f1,f2,Nf2);
for k=1:Ncol,
freqs=linspace(freqr(1),freqr(Nf2),Nf2);
spec=interp1(0.5*fs*(0:Nf2-1)/Nf2,spec(1:Nf2,k),freqs);
end;
else
freqs=freqr;
spec=spec(1:Nf2,:);
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