On the structure of optimal entropy-constrained scalar quantizers

IEEE Transactions on Information Theory

Volumn 48, Issue 2, 2002, Pages 416-427

  György, András ^a,b   Linder, Tamás ^a,c  

^a IEEE   (Hungary)

^b BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

^c QUEEN S UNIVERSITY   (Canada)

Author keywords

Convex distortion measures; Entropy coding; Optimal quantization; Regular quantizers

Indexed keywords

ENTROPY CODING; ENTROPY CONSTRAINED SCALAR QUANTIZERS (ECSQ);

CODES (SYMBOLS); INFORMATION THEORY; SIGNAL DISTORTION; VECTOR QUANTIZATION;

ENCODING (SYMBOLS);

EID: 0036477215     PISSN: 00189448     EISSN: None     Source Type: Journal    
DOI: 10.1109/18.978755     Document Type: Article

References (26)

1. Quantizing for minimum distortion
2. An algorithm for vector quantizer design
3. Locally optimum block quantizer design
4. Quantization and the method of k-means
5. Convergence of vector quantizers with applications to optimal quantization
6. Optimum quantizers and permutation codes
7. Optimum quantizer performance for a class of non-Gaussian memoryless sources
8. Optimum quantizer design using a fixed-point algorithm
9. New results on optimal entropy-constrained quantization
10. Entropy-constrained vector quantization
11. When optimal entropy-constrained quantizers have only a finite number of codewords
12. Optimal entropy-constrained scalar quantization of a uniform source
13. Causal source coding of stationary sources with high resolution
14. An upper bound on entropy series
15. Quantizer mismatch
16. Asymptotically efficient quantizing
17. Asymptotic quantization error of continuous signals and the quantization dimension
18. Least squared quantization in PCM