<< tfrridh Bilinear Time-Frequency Processing in the Cohen's Class tfrsp >>

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tfrridt

Reduced Interference Distribution with triangular kernel.

Calling Sequence

[TFR,T,F] = tfrridt(X)
[TFR,T,F] = tfrridt(X, T)
[TFR,T,F] = tfrridt(X, T, N)
[TFR,T,F] = tfrridt(X, T, N, G)
[TFR,T,F] = tfrridt(X, T, N, G, H)
[TFR,T,F] = tfrridt(X, T, N, G, H, TRACE)
[TFR,T,F] = tfrridt(...,'plot')

Parameters

X :

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

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

F :

A N vector of normalized frequencies.

Description

tfrridt Reduced Interference Distribution with a kernel based on the triangular (or Bartlett) window. tfrridt computes either the distribution of a discrete-time signal X, or the cross representation between two signals.

Examples

sig = [fmlin(128,0.05,0.3)+fmlin(128,0.15,0.4) ; zeros(64,1)];
g = window("re",31);
h = window("re",63);
[TFR,T,F] = tfrridt(sig,120:130,128,g,h,0);
clf; plot(F,TFR);
legend("t="+string(120:130),"in_upper_left");

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