A Signal-Dependent Evolution Kernel for Cohen Class Time-Frequency Distributions
نویسندگان
چکیده
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 BoudreauxBartels have proposed a multiform tiltable exponential distribution kernel containing six parameters. This paper presents optimization of these parameters using evolution programs. r 1998 Academic Press
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عنوان ژورنال:
- Digital Signal Processing
دوره 8 شماره
صفحات -
تاریخ انتشار 1998