Abstract
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.
Original language | English (US) |
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Article number | SP980313 |
Pages (from-to) | 158-165 |
Number of pages | 8 |
Journal | Digital Signal Processing: A Review Journal |
Volume | 8 |
Issue number | 3 |
DOIs | |
State | Published - 1998 |
All Science Journal Classification (ASJC) codes
- Signal Processing
- Computer Vision and Pattern Recognition
- Statistics, Probability and Uncertainty
- Computational Theory and Mathematics
- Electrical and Electronic Engineering
- Artificial Intelligence
- Applied Mathematics