Title :
Bilinear time-frequency representations: new insights and properties
Author :
Loughlin, Patrick J. ; Pitton, James W. ; Atlas, Les E.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
fDate :
2/1/1993 12:00:00 AM
Abstract :
An analysis of the interference terms of Cohen-class bilinear time-frequency representations (TFR) of multicomponent signals is presented. Constraints for achieving new interference properties are derived. Imposing these interference time and interference frequency concentration constraints on a TFR guarantees that the TFR will be zero everywhere the signal s(t) is zero, and the TFR will contain only those frequencies that occur in the signal. Thus, these new constraints guarantee strong finite support in a TFR. When these interference concentration properties are combined with interference attenuation, tradeoffs between finite support, the marginals, and the interference properties are shown to be unavoidable. The useful class of product kernels are considered and generalized further to allow TFR with potentially superior interference properties. The interference frequency concentration and attenuation properties allow TFR with spectrogram-like interference suppression, but without the spectrogram´s inherent time/frequency resolution tradeoff. Other useful combinations of properties are discussed and analyzed, and properties and tradeoffs are illustrated by examples
Keywords :
constraint theory; interference (signal); signal processing; speech analysis and processing; time-frequency analysis; Cohen-class bilinear time-frequency representations; interference attenuation; interference frequency concentration constraints; interference terms; interference time concentration constraints; marginals; multicomponent signals; potentially superior interference properties; product kernels; spectrogram-like interference suppression; strong finite support; tradeoffs; Acoustical engineering; Attenuation; Interference constraints; Interference suppression; Kernel; Radar tracking; Signal analysis; Spectrogram; Speech analysis; Speech processing; Time frequency analysis;
Journal_Title :
Signal Processing, IEEE Transactions on