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

tfrpmh

Pseudo Margenau-Hill time-frequency distribution.

Calling Sequence

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

Parameters

X :

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

T :

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

N :

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

H :

frequency smoothing window, 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', tfrpmh runs tfrqview. and TFR will be plotted

TFR :

time-frequency representation.

F :

vector of normalized frequencies.

Description

tfrpmh computes the Pseudo Margenau-Hill distribution of a discrete-time signal X, or the cross Pseudo Margenau-Hill representation between two signals. Example sig=fmlin(128,0.1,0.4); t=1:128; h=tftb_window(63,'Kaiser'); tfrpmh(sig,t,128,h,1,'plot');

Authors

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