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

tfrmhs

Margenau-Hill-Spectrogram time-frequency distribution.

Calling Sequence

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

Parameters

X :

Signal if auto-MHS, or [X1,X2] if cross-MHS.

T :

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

N :

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

G,H :

analysis windows, normalized so that the representation preserves the signal energy.(default : Hamming(N/10) and Hamming(N/4)).

TRACE :

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

'plot':

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

TFR :

time-frequency representation.

F :

vector of normalized frequencies.

Description

tfrmhs computes the Margenau-Hill-Spectrogram distribution of a discrete-time signal X, or the cross Margenau-Hill-Spectrogram representation between two signals.

Examples

sig=fmlin(128,0.1,0.4); g=tftb_window(21,'Kaiser');
h=tftb_window(63,'Kaiser'); tfrmhs(sig,1:128,64,g,h,1,'plot');

Authors

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