Positive time-frequency distributions via maximum entropy deconvolution of the evolutionary spectrum

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 4, Issue , 1993, Pages 436-439

  Pitton, James W ^a   Loughlin, Patrick J ^a   Atlas, Les E ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECONVOLUTIONS; ENERGY DENSITY; ENERGY NORMALIZATION; ENVELOPE FUNCTIONS; EVOLUTIONARY SPECTRUM; FREQUENCY ENERGY; MAXIMUM-ENTROPY; POSITIVE TIME FREQUENCY DISTRIBUTIONS; SYNTHESIS METHOD; TIME FREQUENCY;

MAXIMUM ENTROPY METHODS;

EID: 85117081623     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.1993.319688     Document Type: Conference Paper

References (14)

1. Abbiss, Allen, Bocker, and Whitehouse, “Fast image reconstruction based on the regularized pseudoinverse of the imaging operator,” SPIE 37th Int. Sym Opt. & Optoelec. Appl. Sci. & Eng., July, 1992.
2. Alsaka, N.Tzannes and W. Marinelli, “An efficient algorithm for implementing the relative entropy method.” IEEE Proc. ICASSP’88,pp. 23842387,1988.
3. Burr, “Iterative convex I-projection algorithm for maximum entropy and minimum crossentropy computations,” IEEE Trans. In@. Theory,vol. 35, no. 3, pp. 695-698, 1989.
4. Cohen, ‘Time-frequency distributions - A review,” Pmc. IEEE, vol. 77,no. 7,pp. 941-981, 1989.
5. Cohen and Posch, “Positive time-frequency distribution functions,” IEEE Trans. ASSP, vol. 33., no. 1, pp. 31-38, 1985.
6. Csiszar, “Why least-squaresand maximum entropy?-an axiomatic approach to inverse problems,” Ann. Stat., vol. 19, pp. 2033-2066,Dec. 1991.
7. Gull and Daniell, “Image reconstruction from incomplete and noisy data.” Nature, v. 272, pp. 686-690,1978.
8. Hammond, Lee and Harrison, ‘The relationship between Wigner-Villeand evolutionary spectra for frequency modulated random processes,” IEEEProc. ICASSP’86,pp. 2327-2330,1986.
9. Loughlin, Pitton and Atlas, “An information-theoretic approach to positive time-frequency distributions,” Proc. ICASSP’92,pp. V125-V128.1992.
10. Loughlin, Pitton and Atlas, “Minimum cross-entropy positive time-frequency distributions,” IEEE Trans. Sig. Pmc. (in review).
11. Loughlin, ‘Time-frequencyenergy density functions: theory and synthesis,” Ph.D. dissertation, University of Washington, Dept. of Electrical Engineering, 1992.
12. Priestley, Spectral Analysis and lime Series, Academic Press,London, 1981.
13. Snyder, Schultz, and OSullivan, “Deblurring subject to non-negativity constraints,’’ IEEE Trans. Sig. Proc., vol. 40,no. 5, pp. 1143-1150, May, 1992.
14. White, “Signal synthesisfrom Cohen’s class of bilinear time-frequency signal representations using convex projections,” IEEE PWC.ICASSP’91,pp. 2053-2056,1991.