A Pseudo-Bertrand Distribution for Time-Scale Analysis

	 Paulo Goncalves and Richard G. Baraniuk
                    Rice University

       To appear in IEEE Signal Processing Letters
                        1996
	

	    	       ABSTRACT

Using the pseudo-Wigner time-frequency distribution as a guide, 
we derive two new time-scale representations, the pseudo-Bertrand 
and the smoothed pseudo-Bertrand distributions.  Unlike the 
Bertrand distribution, these representations support efficient 
online operation at the same computational cost as the continuous 
wavelet transform.  Moreover, they take advantage of the affine 
smoothing inherent in the sliding structure of their implementation 
to suppress cumbersome interference components.

Email: gpaulo@rice.edu, richb@rice.edu