Smoothed pseudo-Wigner distribution, Choi-Williams distribution, and cone-kernel representation: Ambiguity-domain analysis and experimental comparison

Signal Processing

Volumn 43, Issue 2, 1995, Pages 149-168

  Hlawatsch, Franz ^a   Manickam, Thulasinath G ^b   Urbanke, Rüdiger L ^c   Jones, William ^d  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^b UNIVERSITY OF RHODE ISLAND   (United States)

^c WASHINGTON UNIVERSITY   (United States)

^d U S COAST GUARD   (United States)

Author keywords

Choi Williams distribution; Cone kernel representation; cross terms; Signal analysis; Smoothed Wigner distributions; Time frequency representations

Indexed keywords

EID: 0001619688     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/0165-1684(94)00150-X     Document Type: Article

References (23)

1. Time-frequency signal analysis
2. Improved time-frequency representation of multicomponent signals using exponential kernels
3. The Wigner distribution-A tool for time-frequency signal analysis
4. The Wigner distribution-A tool for time-frequency signal analysis
5. The Wigner distribution-A tool for time-frequency signal analysis
6. Time-frequency distributions-A review
7. Some features of time-frequency representations of multicomponent signals
8. Pseudo-Wigner estimators for the analysis of nonstationary processes
9. A comparison of smoothing kernels for computing bilinear time-frequency representations
10. Duality and classification of bilinear time-frequency signal representations
11. Linear and quadratic time-frequency signal representations
12. The interference structure of the Wigner distribution and related time-frequency signal representations
13. Bilinear time-frequency representations of signals: The shift-scale invariant class
14. On the locus and spread of pseudo-density functions in the time-frequency plane
15. Kernel design for reduced interference distributions
16. A resolution comparison of several time-frequency representations
17. Bilinear time-frequency representations: New insights and properties
18. Some properties of the generalized time-frequency representation with cone-shaped kernel
19. Generalization of the Choi-Williams distribution and the Butterworth distribution for time-frequency analysis
20. The use of cone-shaped kernels for generalized time-frequency representations of nonstationary signals