Near-Optimum Quantization for Signal Detection

IEEE Transactions on Communications

Volumn 44, Issue 3, 1996, Pages 294-297

  Hashlamoun, W A ^a  

^a SYRACUSE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA COMPRESSION; ERROR ANALYSIS; HEURISTIC METHODS; PERFORMANCE; PROBABILITY DENSITY FUNCTION; SYSTEMS ANALYSIS;

DISTRIBUTED DETECTION SYSTEMS; NEAR OPTIMUM QUANTIZATION; PROBABILITY OF ERROR; QUANTIZERS; UPPER BOUND;

SIGNAL DETECTION;

EID: 0030104086     PISSN: 00906778     EISSN: None     Source Type: Journal    
DOI: 10.1109/26.486322     Document Type: Article

References (4)

1. H. V. Poor and J. B. Thomas, Applications of Ali-Silvey distance measures in the design of generalized quantizers for binary decision systems, JEEE Trans. Commun., vol. COM-25, pp. 893-900, Sept. 1977.
2. M. Ben-Bassat, Use of distance measures, information measures, and error bounds in feature evaluation, in Handbook of Statistics,\ol. 2, P. R. Krishnaiah and L. N. Kanal, Eds. Amsterdam, The Netherlands: North-Holland, 1982, pp. 773-791.
3. W. A. Hashlamoun, P. K. Varshney, and V. N. S. Samarasooriya, A tight upper bound on the Bayesian probability of error, IEEE Trans. Pattern Anal. Machine Jntell, vol. 16, pp. 220-224, 1994.
4. I. Y. Hoballah and P. K. Varshney, Distributed Bayesian signal detection, IEEE Trans. Inform. Theory, vol. 35, pp. 995-1000, 1989.