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 computerMatlabVersion=version; MatlabVersion=str2num(MatlabVersion(1));% I hope that future Matlab versions will be more compatibleif (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 sigmaxi=max(max(tfr)); % Extraction of the elements of paramdisplay   = param(1);        % contour, imagesc, pcolor, surf, or meshlinlog    = param(2);        % linear or logarithmic scalethreshold = param(3);        % visualization thresholdlevelnumb = param(4);        % number of levelsNf2       = param(5);        % number of frequency pointslayout    = param(6);        % figure layoutfs        = param(7);        % sampling frequencyisgrid    = param(8);        % grid(s)if fs<1000, unitHz=1;                            % display in  s and  Hzelseif (fs>=1e3 & fs<1e6), fs=fs/1e3; unitHz=2;  % display in ms and kHzelseif (fs>=1e6), fs=fs/1e6; unitHz=3;           % display in us and MHzendlinlogtfr=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'); endelse isaffine=0;                            % weyl-heisenberg group of distributions freq=(0.5*(0:Nf2-1)/Nf2);              % dispaly only the positive frequenciesendfreqr=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 figurezoom off; clf; set(gcf,'Resize','On','NextPlot','Add');% Initialization of the axesif 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); endset(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;