Reduced Interference Distribution with a binomial kernel.
[TFR,T,F] = tfrridbn(X) [TFR,T,F] = tfrridbn(X, T) [TFR,T,F] = tfrridbn(X, T, N) [TFR,T,F] = tfrridbn(X, T, N, G) [TFR,T,F] = tfrridbn(X, T, N, G, H) [TFR,T,F] = tfrridbn(X, T, N, G, H, TRACE) [TFR,T,F] = tfrridbn(...,'plot')
A Nx elements vector (auto-RIDBN) or a Nx by 2 array signal (cross-RIDBN).
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)).
It will be normalized such as the middle point equals 1 to preserve signal energy .
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 N by Nt array: the time-frequency representation.
A N vector of normalized frequencies.
tfrridbn Reduced Interference Distribution with a kernel based on the binomial coefficients. tfrridbn computes either the distribution of a discrete-time signal X, or the cross representation between two signals.
Interactive use
sig = fmlin(128,.05,.3) + fmlin(128,.15,.4); tfrridbn(sig,1:N,N,window("hm",13),window("hm",33),'plot'); | ![]() | ![]() |
Non interactive use
N = 128; sig = fmlin(N,.05,.3) + fmlin(N,.15,.4); [TFR,T,F] = tfrridbn(sig,1:N,N,window("hm",13),window("hm",33)); clf; gcf().color_map= jetcolormap(128); Sgrayplot(T,F,TFR'); | ![]() | ![]() |