Reassigned smoothed pseudo Wigner-Ville distribution
[TFR,RTFR,HAT] = tfrrspwv(X) [TFR,RTFR,HAT] = tfrrspwv(X, T) [TFR,RTFR,HAT] = tfrrspwv(X, T, N) [TFR,RTFR,HAT] = tfrrspwv(X, T, N, G) [TFR,RTFR,HAT] = tfrrspwv(X, T, N, G, H) [TFR,RTFR,HAT] = tfrrspwv(X, T, N, G, H, TRACE) [TFR,RTFR,HAT] = tfrrspwv(...,'plot')
A Nx elements vector or a Nx by 2 array signal.
the time instant(s) with elements in [1 Nx] (default : 1:length(X))
number of frequency bins (default : length(X)). For faster computation N should be a power of 2.
a real vector of odd length: the time smoothing window (default : Hamming(N/10)).
a real vector of odd length: the frequency 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 N by Nt complex matrix: the reassignment vectors.
tfrrspwv computes the smoothed pseudo Wigner-Ville distribution and its reassigned version.
N = 128; sig = fmlin(N,0.05,0.15) + fmlin(N,0.3,0.4); t = 1:2:N; g = window("kr",15,3*%pi); h = window("kr",63,3*%pi); [tfr,rtfr,hat] = tfrrspwv(sig,t,64,g,h); clf; gcf().color_map = jetcolormap(128); subplot(121) grayplot(t,linspace(0,0.25,N/2),tfr(1:N/2,:)') title TFR subplot(122) grayplot(t,linspace(0,0.25,N/2),rtfr(1:N/2,:)') title RTFR | ![]() | ![]() |