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)|
|Number of pages||8|
|Journal||Digital Signal Processing: A Review Journal|
|Publication status||Published - Jan 1 1998|
All Science Journal Classification (ASJC) codes
- Signal Processing
- Electrical and Electronic Engineering