<< lambdak Bilinear Time-Frequency Processing in the Affine Class tfrdfla >>

Time Frequency Toolbox >> Time Frequency Toolbox > Bilinear Time-Frequency Processing in the Affine Class > tfrbert

tfrbert

Unitary Bertrand time-frequency distribution.

Calling Sequence

[TFR,T,F]=tfrbert(X,)
[TFR,T,F]=tfrbert(X,T)
[TFR,T,F]=tfrbert(X,T,FMIN,FMAX)
[TFR,T,F]=tfrbert(X,T,FMIN,FMAX,N)
[TFR,T,F]=tfrbert(X,T,FMIN,FMAX,N,TRACE)
[TFR,T,F]=tfrbert(...,'plot')

Parameters

X :

signal (in time) to be analyzed. If X=[X1 X2], tfrbert computes the cross-unitary Bertrand distribution (Nx=length(X)).

T :

time instant(s) on which the TFR is evaluated (default : 1:Nx).

FMIN,FMAX :

respectively lower and upper frequency bounds of the analyzed signal. These parameters fix the equivalent frequency bandwidth (expressed in Hz). When unspecified, you have to enter them at the command line from the plot of the spectrum. FMIN and FMAX must be >0 and <=0.5.

N :

number of analyzed voices (default : automatically determined).

TRACE :

if nonzero, the progression of the algorithm is shown (default : 0).

'plot':

if one input parameter is 'plot', tfrbert runs tfrqview. and TFR will be plotted

TFR :

time-frequency matrix containing the coefficients of the distribution (x-coordinate corresponds to uniformly sampled time, and y-coordinate corresponds to a geometrically sampled frequency). First row of TFR corresponds to the lowest frequency.

F :

vector of normalized frequencies (geometrically sampled from FMIN to FMAX).

Description

tfrbert generates the auto- or cross- unitary Bertrand distribution.

Examples

sig=altes(64,0.1,0.45); tfrbert(sig,'plot');

See also

Authors

<< lambdak Bilinear Time-Frequency Processing in the Affine Class tfrdfla >>