On Optimal Quantization of Noisy Sources

IEEE Transactions on Information Theory

Volumn 36, Issue 6, 1990, Pages 1450-1452

  Ayanoolu, Ender ^a  

^a LUCENT TECHNOLOGIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NOISE, SPURIOUS SIGNAL;

ERROR DISTORTION MEASURE; GAUSSIAN NOISE; GAUSSIAN SIGNALS; QUANTIZATION;

CODES, SYMBOLIC;

EID: 0025522510     PISSN: 00189448     EISSN: 15579654     Source Type: Journal    
DOI: 10.1109/18.59943     Document Type: Article

References (8)

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2. D. J. Sakrison, “Source encoding in the presence of random disturbance,” IEEE Trans. Inform. Theory, vol. IT-14, pp. 165–167, Jan. 1968.
3. J. K. Wolf and J. Ziv, “Transmission of noisy information to a noisy receiver with minimum distortion,” IEEE Trans. Inform. Theory, vol. IT-16, pp. 406–411, July 1970.
4. M. K. Cook and R. A. Jones, “A minimum risk quantizer for noisy sources,” Proc. Int. Conf. Acoust., Speech, and Signal Processing, Dallas, TX, vol. 2, Apr. 1987, pp. 1252–1255.
5. Y. Ephraim and R. M. Gray, “A unified approach to encoding clean and noisy sources by means of waveform and autoregressive model vector quantization,” IEEE Trans. Inform. Theory, vol. 34, pp. 826–834, July 1988.
6. J. M. Mendel, Lessons in Digital Estimation Theory. Englewood Cliffs, NJ; Prentice-Hall, 1987.
7. Y. Linde, A. Buzo and R. M. Gray, “An algorithm for vector quantizer design,” IEEE Trans. Commun., vol. COM-28, pp. 84–95, Jan. 1980.
8. N. C. Gallagher, Jr. and J. A. Bucklew, “Properties of minimum mean-squared-error block quantizers,” IEEE Trans. Inform. Theory, vol. IT-28, pp. 105–107, Jan. 1982.