Margenau-Hill-Spectrogram time-frequency distribution.
[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')
Signal if auto-MHS, or [X1,X2] if cross-MHS.
time instant(s) (default : 1:length(X)).
number of frequency bins (default : length(X)).
analysis windows, normalized so that the representation preserves the signal energy.(default : Hamming(N/10) and Hamming(N/4)).
if nonzero, the progression of the algorithm is shown (default : 0).
if one input parameter is 'plot', tfrmhs runs tfrqview. and TFR will be plotted
time-frequency representation.
vector of normalized frequencies.
tfrmhs computes the Margenau-Hill-Spectrogram distribution of a discrete-time signal X, or the cross Margenau-Hill-Spectrogram representation between two signals.