Quantization of memoryless and Gauss-Markov sources over binary Markov channels
- 1 June 1997
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Communications
- Vol. 45 (6), 668-675
- https://doi.org/10.1109/26.592605
Abstract
No abstract availableThis publication has 17 references indexed in Scilit:
- Detection of binary Markov sources over channels with additive Markov noiseIEEE Transactions on Information Theory, 1996
- Optimal detection of discrete Markov sources over discrete memoryless channels-applications to combined source-channel codingIEEE Transactions on Information Theory, 1994
- A unified approach to tree-structured and multistage vector quantization for noisy channelsIEEE Transactions on Information Theory, 1993
- Use of residual redundancy in the design of joint source/channel codersIEEE Transactions on Communications, 1991
- On the performance and complexity of channel-optimized vector quantizersIEEE Transactions on Information Theory, 1991
- A study of vector quantization for noisy channelsIEEE Transactions on Information Theory, 1990
- A construction of vector quantizers for noisy channelsElectronics and Communications in Japan (Part I: Communications), 1984
- Least squares quantization in PCMIEEE Transactions on Information Theory, 1982
- An Algorithm for Vector Quantizer DesignIEEE Transactions on Communications, 1980
- Quantizing for minimum distortionIEEE Transactions on Information Theory, 1960