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A Signal-Dependent Evolution Kernel for Cohen Class Time–Frequency Distributions

✍ Scribed by N.Sudarshan Rao; P.S. Moharir

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
220 KB
Volume
8
Category
Article
ISSN
1051-2004

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✦ Synopsis

Cohen class time-frequency distributions serve as alternatives to the traditional spectrogram and are known for their ability to provide simultaneous resolution in time and frequency. They employ a kernel along with the signal's Wigner distribution. Kernel design has witnessed significant attention. Very recently Costa and Boudreaux-Bartels have proposed a multiform tiltable exponential distribution kernel containing six parameters. This paper presents optimization of these parameters using evolution programs. 1998 Academic Press

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