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

tfrpwv

Pseudo Wigner-Ville time-frequency distribution.

Calling Sequence

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

Parameters

X :

A Nx elements vector (auto-PWV) or a Nx by 2 array signal (cross-PWV).

T:

a real Nt vector with elements in [1 Nx] : time instant(s) (default: 1:NX).

N:

a positive integer: the number of frequency bins (default:Nx). For faster computation N should be a power of 2.

H :

real vector with odd length: the frequency smoothing window,(default: window("hm",N/4)).

It will be normalized such as the middle point equals 1 to preserve signal energy.

TRACE :

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

'plot':

if the last input parameter value is 'plot', tfrqview is called and the time-frequency representation will be plotted.

TFR :

A real N by Nt array: the time-frequency representation.

F :

A N vector of normalized frequencies.

Description

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

Examples

Interactive use

N=128;
sig=fmlin(N,0.1,0.4); 
tfrpwv(sig,'plot');

Non interactive use

N=128;
sig=fmlin(N,0.1,0.4); 
[TFR,T,F]=tfrpwv(sig,1:N,N,window("hm",N/4+1));
clf;gcf().color_map= jetcolormap(128);
Sgrayplot(T,F,TFR');

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