Application of minimum entropy estimation in modal analysis

2006 IEEE 12th Digital Signal Processing Workshop and 4th IEEE Signal Processing Education Workshop

Volumn , Issue , 2006, Pages 193-196

  Ta, Minh ^a   Zhou, Dayong ^a   Debrunner, Victor ^a  

^a University of Oklahoma

Author keywords

[No Author keywords available]

Indexed keywords

MARKOV SEQUENCES; MINIMUM ENTROPY ESTIMATION (MEE); SYSTEM MATRICES;

ALGORITHMS; EIGENVALUES AND EIGENFUNCTIONS; MATRIX ALGEBRA; MODAL ANALYSIS; PARAMETER ESTIMATION;

SIGNAL PROCESSING;

EID: 39049104463     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DSPWS.2006.265441     Document Type: Conference Paper

References (5)

1. J.-N. Juang, Applied System Identification, Prentice Hall, Englewood Cliffs, NJ, 1994.
2. Minh Ta and V. DeBrunner, "Minimum entropy estimation as a near maximum-likelihood method and its application in system identification with non-Gaussian noise," Proc. ICASSP 2004, 17-21 May 2004, Montreal (Canada).
3. L. Pronzato and E. Thierry, "Entropy minimization for parameter estimation problems with unknown distribution of the output noise," Proc. ICASSP 2001, 6-11 May 2001, Salt Lake City (USA).
4. H. Akaike, "Information Theory and an Extension of the Maximum Likelihood Principle," Proc. 2nd Symposium on Information Theory, pp. 267-281, 1973.
5. E. Parzen, "On estimation of a probability density function and mode," Annals of Math. Stat., vol. 35, pp. 1065-1076, 1962.