Reassigned Stankovic distribution.
[TFR,RTFR,HAT] = tfrrstan(X) [TFR,RTFR,HAT] = tfrrstan(X,T) [TFR,RTFR,HAT] = tfrrstan(X,T,N) [TFR,RTFR,HAT] = tfrrstan(X,T,N,G) [TFR,RTFR,HAT] = tfrrstan(X,T,N,G,H) [TFR,RTFR,HAT] = tfrrstan(X,T,N,G,H,TRACE) [TFR,RTFR,HAT] = tfrrstan(...,'plot')
A Nx elements vector: the analyzed signal .
a real Nt vector with elements regularly spaced in [1 Nx] : time instant(s) (default: 1:NX).
a positive integer: the number of frequency bins (default:NX). For faster computation N should be a power of 2.
a real vector with odd length: the frequency averaging window (default :[0.25 0.5 0.25]).
real vector with odd length: the stft smoothing window,(default: Hamming(N/4)).
A boolean (or a real scalar) if true (or nonzero),the progression of the algorithm is shown (default : %f).
if one input parameter is 'plot', tfrqview is called and the time-frequency representation will be plotted.
A real N by Nt array: the time-frequency representation.
A real N by Nt array: the reassigned time-frequency representation.
A complex N by Nt array: the reassignment vectors.
tfrrstan computes the Stankovic distribution and its reassigned version.
N=128; sig=fmlin(N,0.1,0.4); g=window('hn',9); h=window("hn",61); t=1:2:128; tfr=tfrrstan(sig,t,N,g,h); f=(0.5*(0:N-1)/N)'; clf;gcf().color_map= jetcolormap(128); grayplot(t,f,tfr'); | ![]() | ![]() |