Spectrogram time-frequency distribution.
[TFR,T,F] = tfrsp(X) [TFR,T,F] = tfrsp(X, T) [TFR,T,F] = tfrsp(X, T, N) [TFR,T,F] = tfrsp(X, T, N, H) [TFR,T,F] = tfrsp(X, T, N, H, TRACE) [TFR,T,F] = tfrsp(...,'plot')
tfrsp computes the Spectrogram distribution of a discrete-time signal X.
A Nx elements vector (auto-SP) or a Nx by 2 array signal (cross-SP).
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 analysis window, H being normalized so as to be of unit energy. (default : Hamming(N/4)).
if nonzero,the progression of the algorithm is shown (default : 0).
if the last input parameter value 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.
N = 128; sig = fmlin(N,0.1,0.4); h = window("kr",17,3*%pi); [TFR,T,F] = tfrsp(sig,1:N,N/2,h); clf; gcf().color_map = jetcolormap(128); subplot(121); Sgrayplot(T,F(1:$/2),TFR(1:$/2,:)'); subplot(122); plot(fftshift(F'),fftshift(TFR(:,100))) | ![]() | ![]() |