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tfrridbn

Reduced Interference Distribution with a binomial kernel.

Calling Sequence

[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')

Parameters

X :

A Nx elements vector (auto-RIDBN) or a Nx by 2 array signal (cross-RIDBN).

T:

a real Nt vector with elements in [1 Nx] : time instant(s) (default: 1:NX).

N:

a positive integer: the number of frequency bins (default:Nx). For faster computation N should be a power of 2.

G:

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 .

H :

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.

TRACE :

A boolean (or a real scalar) if true (or nonzero),the progression of the algorithm is shown (default : %f).

'plot':

if one input parameter is 'plot', tfrqview is called and the time-frequency representation will be plotted.

TFR :

A N by Nt array: the time-frequency representation.

F :

A N vector of normalized frequencies.

Description

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.

Examples

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');

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