Shift Covariant Time-Frequency Distributions of Discrete Signals (1997)
| Venue: | IEEE Trans. on Signal Processing |
| Citations: | 11 - 4 self |
BibTeX
@ARTICLE{O'neill97shiftcovariant,
author = {Jeffrey C. O'neill and William J. Williams},
title = {Shift Covariant Time-Frequency Distributions of Discrete Signals},
journal = {IEEE Trans. on Signal Processing},
year = {1997},
volume = {47},
pages = {133--150}
}
Years of Citing Articles
OpenURL
Abstract
Many commonly used time-frequency distributions are members of the Cohen class. This class is defined for continuous signals and since time-frequency distributions in the Cohen class are quadratic, the formulation for discrete signals is not straightforward. The Cohen class can be derived as the class of all quadratic time-frequency distributions that are covariant to time shifts and frequency shifts. In this paper we extend this method to three types of discrete signals to derive what we will call the discrete Cohen classes. The properties of the discrete Cohen classes differ from those of the original Cohen class. To illustrate these properties we also provide explicit relationships between the classical Wigner distribution and the discrete Cohen classes. I. Introduction I N signal analysis there are four types of signals commonly used. These four types are based on whether the signal is continuous or discrete, and whether the signal is aperiodic or periodic. The four signal types ...







