Pseudo Margenau-Hill time-frequency distribution.
[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')
signal if auto-PMH, or [X1,X2] if cross-PMH.
time instant(s) (default : 1:length(X)).
number of frequency bins (default : length(X)).
frequency smoothing window, H(0) being forced to 1 (default : Hamming(N/4)).
if nonzero, the progression of the algorithm is shown (default : 0).
if one input parameter is 'plot', tfrpmh runs tfrqview. and TFR will be plotted
time-frequency representation.
vector of normalized frequencies.
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');