Pseudo Wigner-Ville time-frequency distribution
[TFR,T,F] = tfrpwv(X) [TFR,T,F] = tfrpwv(X, T) [TFR,T,F] = tfrpwv(X, T, N) [TFR,T,F] = tfrpwv(X, T, N, H) [TFR,T,F] = tfrpwv(X, T, N, H, TRACE) [TFR,T,F] = tfrpwv(...,'plot')
A Nx elements vector (auto-PWV) or a Nx by 2 array signal (cross-PWV).
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.
real vector with odd length: the frequency smoothing window,(default: window("hm",N/4)).
It will be normalized such as the middle point equals 1 to preserve signal energy.
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.
tfrpwv computes the Pseudo Wigner-Ville distribution of a discrete-time signal X, or the cross Pseudo Wigner-Ville representation between two signals.
Interactive use
Non interactive use
N = 128; sig = fmlin(N,0.1,0.4); [TFR,T,F] = tfrpwv(sig,1:N,N,window("hm",N/4+1)); clf; gcf().color_map = jetcolormap(128); Sgrayplot(T,F,TFR'); | ![]() | ![]() |