Elements of information theory
Elements of information theory
Turbo Source Coding: A Noise-Robust Approach to Data Compression
DCC '02 Proceedings of the Data Compression Conference
Compression with Side Information Using Turbo Codes
DCC '02 Proceedings of the Data Compression Conference
Joint Source-Channel Decoding of Correlated Sources over Noisy Channels
DCC '01 Proceedings of the Data Compression Conference
On the construction of some capacity-approaching coding schemes
On the construction of some capacity-approaching coding schemes
Successive Refinement for the Wyner-Ziv Problem and Layered Code Design
DCC '04 Proceedings of the Conference on Data Compression
Wyner-Ziv coding of video: an error-resilient compression framework
IEEE Transactions on Multimedia
Systematic lossy source/channel coding
IEEE Transactions on Information Theory
Nested linear/lattice codes for structured multiterminal binning
IEEE Transactions on Information Theory
On successive refinement for the Wyner-Ziv problem
IEEE Transactions on Information Theory
On code design for the Slepian-Wolf problem and lossless multiterminal networks
IEEE Transactions on Information Theory
The Distributed Karhunen–Loève Transform
IEEE Transactions on Information Theory
Layered Wyner–Ziv Video Coding
IEEE Transactions on Image Processing
Overview of fine granularity scalability in MPEG-4 video standard
IEEE Transactions on Circuits and Systems for Video Technology
Rate allocation for robust video streaming based on distributed video coding
Image Communication
Unequal error protection techniques based on Wyner-ziv coding
Journal on Image and Video Processing - Special issue on distributed video coding
Feedback aided content adaptive unequal error protection based on Wyner-Ziv coding
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Compress-forward coding with BPSK modulation for the half-duplex Gaussian relay channel
IEEE Transactions on Signal Processing
Distributed video coding: trends and perspectives
Journal on Image and Video Processing - Special issue on distributed video coding
Joint source-channel estimation using accumulated LDPC syndrome
IEEE Communications Letters
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Based on recent works on Wyner-Ziv coding (WZC) (or lossy source coding with decoder side information), this paper considers the case with noisy channel and addresses distributed joint source-channel coding (JSCC), while targeting at the important application of scalable video transmission over wireless networks. In WZC, after quantization, Slepian-Wolf coding (SWC) is used to reduce the rate. SWC is traditionally realized by sending syndromes of a linear channel code. Since syndromes of the channel code can only compress but cannot protect, for transmission over noisy channels, additional error protection is needed. However, instead of using one channel code for SWC and one for error protection, our idea is to use a single channel code to achieve both compression and protection. We replace the traditional syndrome-based SWC scheme by the parity-based one, where only parity bits of the Slepian-Wolf channel code are sent. If the amount of transmitted parity bits increases above the Slepian-Wolf limit, the added redundancy is exploited to cope against the noise in the transmission channel. Using irregular repeat-accumulate codes for practical parity-based SWC, we design a novel layered Wyner-Ziv video coder which is robust to channel failures and thus very suitable for wireless communications. Our simulation results show great advantages of the proposed solution based on JSCC compared to the traditional approach where source and channel coding are performed separately.