Abstract
Two signal components are considered “resolved” in a time-frequency representation when two distinct peaks can be observed. The time-frequency resolution limit of two Gaussian components, alike except for their time and frequency centers, are determined for the Wigner distribution, the pseudo-Wigner distribution, the smoothed Wigner distribution, the squared magnitude of the short-time Fourier transform, and the Choi-Williams distribution. The relative performance of the various distributions depends on the signal. The pseudo-Wigner distribution is best for signals of this class with only one frequency component at any one time, the Choi-Williams distribution is most attractive for signals in which all components have constant frequency content, and the matched filter short-time Fourier transform is best for signal components with significant frequency modulation. A relationship between the short-time Fourier transform and the cross-Wigner distribution is used to argue that, with a properly chosen window, the short-time Fourier transform or the cross-Wigner distribution must provide better signal component separation than the Wigner distribution.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 413-420 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Signal Processing |
| Volume | 40 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 1992 |
| Externally published | Yes |
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
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