A Simple Scheme for Adapting Time-Frequency Representations
	 Douglas L. Jones and Richard G. Baraniuk 

    Appears in IEEE Transactions on Signal Processing
     Vol. 42, No. 12, pp. 3530--3535, December 1994
		  PostScript, 13 pages


	    	       ABSTRACT

Signal-dependent time-frequency representations, by adapting their
functional form to fit the signal being analyzed, offer many
performance advantages over conventional representations. In this
paper, we propose a simple, efficient technique for continuously
adapting time-frequency representations over time. The procedure
computes a short-time quality measure of the representation for a
range of values of a free parameter and estimates the optimal
parameter value maximizing the quality measure via interpolation.
Many representations, including the short-time Fourier transform, the
cone-kernel distribution, and the continuous wavelet transform,
support adaptation, at a computational cost of only a few times that
of the corresponding static representations.

Email: richb@rice.edu