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Time Frequency Toolbox >> Time Frequency Toolbox > Bilinear Time-Frequency Processing in the Cohen's Class > tfrspwv

tfrspwv

Smoothed Pseudo Wigner-Ville time-frequency distribution.

Calling Sequence

[TFR,T,F]=tfrspwv(X)
[TFR,T,F]=tfrspwv(X,T)
[TFR,T,F]=tfrspwv(X,T,N)
[TFR,T,F]=tfrspwv(X,T,N,G
[TFR,T,F]=tfrspwv(X,T,N,G,H)
[TFR,T,F]=tfrspwv(X,T,N,G,H,TRACE)
[TFR,T,F]=tfrspwv(...,'plot')

Parameters

X :

signal if auto-SPWV, or [X1,X2] if cross-SPWV.

T :

time instant(s) (default : 1:length(X)) .

N :

number of frequency bins (default : length(X)).

G :

time smoothing window, G(0) being forced to 1. default : Hamming(N/10)).

H :

frequency smoothing window in the time-domain, H(0) being forced to 1 (default : Hamming(N/4)).

TRACE :

if nonzero, the progression of the algorithm is shown (default : 0).

'plot':

if one input parameter is 'plot', tfrspwv runs tfrqview. and TFR will be plotted

TFR :

time-frequency representation.

F :

vector of normalized frequencies.

Description

computes the Smoothed Pseudo Wigner-Ville distribution of a discrete-time signal X, or the cross Smoothed Pseudo Wigner-Ville representation between two signals.

Examples

sig=fmlin(128,0.05,0.15)+fmlin(128,0.3,0.4);
g=tftb_window(15,'Kaiser'); h=tftb_window(63,'Kaiser');
tfrspwv(sig,1:128,64,g,h,1,'plot');

Authors

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