Lattice Quantization with Side Information
DCC '00 Proceedings of the Conference on Data Compression
Design of Trellis Codes for Source Coding with Side Information at the Decoder
DCC '01 Proceedings of the Data Compression Conference
DCC '01 Proceedings of the Data Compression Conference
Approaching the Slepian-Wolf boundary using practical channel codes
Signal Processing - Special section: Distributed source coding
Signal Processing - Special section: Distributed source coding
Layered Wyner-Ziv video coding for transmission over unreliable channels
Signal Processing - Special section: Distributed source coding
LDGM codes for channel coding and joint source-channel coding of correlated sources
EURASIP Journal on Applied Signal Processing
Distributed temporal multiple description coding for robust video transmission
EURASIP Journal on Wireless Communications and Networking - Multimedia over Wireless Networks
Channel Coding in the Presence of Side Information
Foundations and Trends in Communications and Information Theory
Successively Structured Gaussian Two-terminal Source Coding
Wireless Personal Communications: An International Journal
Lossy distributed source coding using LDPC codes
IEEE Communications Letters
Universal source controlled channel decoding with nonsystematic quick-look-in turbo codes
IEEE Transactions on Communications
Hybrid digital-analog coding with bandwidth compression for Gaussian source-channel pairs
IEEE Transactions on Communications
Approximate characterizations for the Gaussian broadcasting distortion region
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Hybrid digital-analog joint source-channel coding for broadcasting correlated Gaussian sources
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Distortion minimization in Gaussian layered broadcast coding with successive refinement
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Compress-forward coding with BPSK modulation for the half-duplex Gaussian relay channel
IEEE Transactions on Signal Processing
Hybrid digital-analog relaying for cooperative transmission over slow fading channels
IEEE Transactions on Information Theory
Asymptotically optimal joint source-channel coding with minimal delay
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A universal scheme for Wyner-Ziv coding of discrete sources
IEEE Transactions on Information Theory
Wyner-Ziv coding over broadcast channels: digital schemes
IEEE Transactions on Information Theory
Generalizing capacity: new definitions and capacity theorems for composite channels
IEEE Transactions on Information Theory
On successive refinement for the Kaspi/Heegard-Berger problem
IEEE Transactions on Information Theory
IEEE Transactions on Communications
Hi-index | 755.26 |
The fundamental limits of “systematic” communication are analyzed. In systematic transmission, the decoder has access to a noisy version of the uncoded raw data (analog or digital). The coded version of the data is used to reduce the average reproduced distortion D below that provided by the uncoded systematic link and/or increase the rate of information transmission. Unlike the case of arbitrarily reliable error correction (D→0) for symmetric sources/channels, where systematic codes are known to do as well as nonsystematic codes, we demonstrate that the systematic structure may degrade the performance for nonvanishing D. We characterize the achievable average distortion and we find necessary and sufficient conditions under which systematic communication does not incur loss of optimality. The Wyner-Ziv (1976) rate distortion theorem plays a fundamental role in our setting. The general result is applied to several scenarios. For a Gaussian bandlimited source and a Gaussian channel, the invariance of the bandwidth-signal-to-noise ratio (SNR, in decibels) product is established, and the optimality of systematic transmission is demonstrated. Bernoulli sources transmitted over binary-symmetric channels and over certain Gaussian channels are also analyzed. It is shown that if nonnegligible bit-error rate is tolerated, systematic encoding is strictly suboptimal