Achieving the Gaussian rate-distortion function by prediction

IEEE International Symposium on Information Theory - Proceedings

Volumn , Issue , 2006, Pages 803-807

  Zamir, Ram ^a   Kochman, Yuval ^a   Erez, Uri ^a  

^a TEL AVIV UNIVERSITY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION FEEDBACK EQUALIZERS; POWER SPECTRUM; SIGNAL DISTORTION;

GAUSSIAN RATE-DISTORTION FUNCTION; GAUSSIAN SOURCE; LINEAR PREDICTION;

GAUSSIAN NOISE (ELECTRONIC);

EID: 39049117012     PISSN: 21578101     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIT.2006.261724     Document Type: Conference Paper

References (12)

1. T. Berger. Rate Distortion Theory: A Mathematical Basis for Data Compression. Prentice-Hall, Englewood Cliffs, NJ, 1971.
2. J.M. Cioffi, G.P. Dudevoir, M.V. Eyuboglu, and G.D. J. Forney. MMSE Decision-Feedback Equalizers and Coding - Part I: Equalization Results. IEEE Trans. Communications, COM-43:2582-2594, Oct. 1995.
3. T. M. Cover and J. A. Thomas. Elements of Information Theory. Wiley, New York, 1991.
4. U. Erez, S. Shamai (Shitz), and R. Zamir. Capacity and lattice strategies for cancelling known interference. IEEE Trans. Information Theory, submitted, June 2003.
5. G. D. Forney, Jr. Shannon meets Wiener II: On MMSE estimation in successive decoding schemes. In 42st Annual Allerton Conference on Communication, Control, and Computing, Allerton House, Monticello, Illinois, Oct. 2004.
6. A. Gersho and R. M. Gray Vector Quantization and Signal Compression'. Kluwer Academic Pub., Boston, 1992.
7. G. D. Gibson, T. Berger, T. Lookabaugh, D. Lindbergh, and R. L. Baker. Digital Compression for Multimedia: Principles and Standards '. Morgan Kaufmann Pub., San Fansisco, 1998.
8. T. Guess and M. K. Varanasi. An information-theoretic framework for deriving canonical decision-feedback receivers in gaussian channels. IEEE Trans. Information Theory, IT-51:173-187, Jan. 2005.
9. N. S. Jayant and P. Noll. Digital Coding of Waveforms. Prentice-Hall, Englewood Cliffs, NJ, 1984.
10. K. T. Kim and T. Berger. Sending a Lossy Version of the Innovations Process is Suboptimal in QG Rate-Distortion. In Proceedings of ISIT2005, Adelaide, Australia, pages 209-213, 2005.
11. E. A. Lee and D. G. Messerschmitt. Digital Communication. Kluwer, 2nd ed. Boston, MA, 1994.
12. R. Zamir and M. Feder. Information rates of pre/post filtered dithered quantizers. IEEE Trans. Info. Theory, pages 1340-1353, Sept. 1996.