<< tfrpwv Bilinear Time-Frequency Processing in the Cohen's Class tfrridb >>

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tfrri

Rihaczek time-frequency distribution.

Calling Sequence

[TFR,T,F] = tfrri(X)
[TFR,T,F] = tfrri(X, T)
[TFR,T,F] = tfrri(X, T, N)
[TFR,T,F] = tfrri(X, T, N, TRACE)
[TFR,T,F] = tfrri(...,'plot')

Parameters

X :

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

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.

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

F :

A N vector of normalized frequencies.

Description

tfrri computes the Rihaczek distribution of a discrete-time signal X, or the cross Rihaczek representation between two signals.

Examples

N = 128;
sig = fmlin(N,0.1,0.4); 
[TFR,T,F] = tfrri(sig);
clf;gcf().color_map = jetcolormap(128);
grayplot(T,F(1:N/2),real(TFR(1:N/2,:))');

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