On the Performance and Complexity of Channel-Optimized Vector Quantizers

IEEE Transactions on Information Theory

Volumn 37, Issue 1, 1991, Pages 155-160

  Vaishampayan, Vinay ^b  

^a TELECOM PARISTECH   (France)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CODES, SYMBOLIC--ENCODING;

EUCLIDEAN DISTANCE; VECTOR QUANTIZATION;

INFORMATION THEORY;

EID: 0025993181     PISSN: 00189448     EISSN: 15579654     Source Type: Journal    
DOI: 10.1109/18.61130     Document Type: Article

References (13)

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4. J. R. B. De Marca and N. S. Jayant, “An algorithm for assigning binary indices to the codevectors of a multidimensional quantizer,” Proc. IEEE Int. Comm. Conf., Seattle, WA, June 1987, pp. 1128–1132.
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8. K. A. Zeger and A. Gersho, “Pseudo-gray coding,” to appear in IEEE Trans. Commun.
9. H. Kumazawa, M. Kasahara, and T. Namekawa, “A construction of vector quantizers for noisy channels,” Electron. Eng. Japan, vol. 67-B, no. 4, pp. 39–47, 1984.
10. N. Farvardin and V. Vaishampayan, “Optimal quantizer design for noisy channels: An approach to combined source-channel coding,” IEEE Trans. Inform. Theory, vol. IT-33, no. 6, pp. 827–838. Nov. 1987.
11. E. Ayanoglu, “Trellis Coding for Sources and Channels,” Ph.D. dissertation, Information Systems Laboratory, Stanford Univ., Stanford, CA, Aug. 1986.
12. E. Ayanoglu and R. M. Gray, “The design of joint source and channel trellis waveform coders,” IEEE Trans. Inform. Theory, vol. IT-33, no. 6, pp. 855-865. Nov. 1987.
13. A. Gersho and R. M. Gray, Vector Quantization and Signal Compression. New York: Kluwer Academic, in preparation.