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')
A Nx elements vector (auto-MHS) or a Nx by 2 array signal (cross-MHS).
a real Nt vector with elements in [1 Nx] : time instant(s) (default: 1:NX).
a positive integer: the number of frequency bins (default:NX). For faster computation N should be a power of 2.
a real vector with odd length: the time smoothing window, (default :Hamming(N/10)).
real vector with odd length: the frequency smoothing window,(default: Hamming(N/4)).
It will be normalized such as the middle point equals 1 to preserve signal energy.
A boolean (or a real scalar) if true (or nonzero),the progression of the algorithm is shown (default : %f).
if one input parameter is 'plot', tfrqview is called and the time-frequency representation will be plotted.
A real N by Nt array: the time-frequency representation.
A N 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.
Interactive use
N = 128; sig = fmlin(N,0.1,0.4); g = window("kr",21,3*%pi); h = window("kr",63,3*%pi); tfrmhs(sig,1:N,64,g,h,'plot'); | ![]() | ![]() |
Non interactive use
N = 128; sig = fmlin(N,0.1,0.4); g = window("kr",21,3*%pi); h = window("kr",63,3*%pi); [TFR,T,F] = tfrmhs(sig,1:N,64,g,h); clf; gcf().color_map = jetcolormap(128); grayplot(T,F,TFR'); | ![]() | ![]() |