Unterberger time-frequency distribution.
[TFR,T,F]=tfrunter(X,) [TFR,T,F]=tfrunter(X,T) [TFR,T,F]=tfrunter(X,T,FORM) [TFR,T,F]=tfrunter(X,T,FORM,FMIN,FMAX) [TFR,T,F]=tfrunter(X,T,FORM,FMIN,FMAX,N) [TFR,T,F]=tfrunter(X,T,FORM,FMIN,FMAX,N,TRACE) [TFR,T,F]=tfrunter(...,'plot')
signal (in time) to be analyzed. If X=[X1 X2], tfrunter computes the cross-Unterberger distribution (Nx=length(X)).
time instant(s) on which the TFR is evaluated (default : 1:Nx).
'A' for active, 'P' for passive Unterberger distribution.(default : 'A').
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.
number of analyzed voices (default : automatically determined).
if nonzero, the progression of the algorithm is shown (default : 0).
if one input parameter is 'plot', tfrdfla runs tfrqview. and TFR will be plotted
time-frequency matrix containing the coefficients of the decomposition (abscissa correspond to uniformly sampled time, and ordinates correspond to a geometrically sampled frequency). First row of TFR corresponds to the lowest frequency.
vector of normalized frequencies (geometrically sampled from FMIN to FMAX).
tfrunter generates the auto- or cross-Unterberger distribution (active or passive form).