A revolution: belief propagation in graphs with cycles
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Utilizing Soft Information in Decoding of Variable Length Codes
DCC '99 Proceedings of the Conference on Data Compression
Iterative Source/Channel-Decoding Using Reversible Variable Length Codes
DCC '00 Proceedings of the Conference on Data Compression
Joint Source-Channel Soft Decoding of Huffman Codes with Turbo-Codes
DCC '00 Proceedings of the Conference on Data Compression
Joint Source/Channel Coding for Variable Length Codes
DCC '98 Proceedings of the Conference on Data Compression
On Variable Length Codes for Iterative Source/Channel Decoding
DCC '01 Proceedings of the Data Compression Conference
Joint Source Channel Coding Using Arithmetic Codes and Trellis Coded Modulation
DCC '01 Proceedings of the Data Compression Conference
Error Control Coding, Second Edition
Error Control Coding, Second Edition
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05
A new error resilience technique for image compression using arithmetic coding
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Soft and joint source-channel decoding of quasi-arithmetic codes
EURASIP Journal on Applied Signal Processing
The JPEG2000 still image coding system: an overview
IEEE Transactions on Consumer Electronics
Turbo decoding as an instance of Pearl's “belief propagation” algorithm
IEEE Journal on Selected Areas in Communications
Iterative decoding of compound codes by probability propagation in graphical models
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Turbo codes for image transmission-a joint channel and source decoding approach
IEEE Journal on Selected Areas in Communications
On the iterative approximation of optimal joint source-channel decoding
IEEE Journal on Selected Areas in Communications
Joint turbo decoding and estimation of hidden Markov sources
IEEE Journal on Selected Areas in Communications
Joint source-channel turbo decoding of entropy-coded sources
IEEE Journal on Selected Areas in Communications
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Utilizing cross-layer information to improve performance in JPEG2000 decoding
Advances in Multimedia
An efficient variable-length code construction foriterative source-channel decoding
IEEE Transactions on Communications
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Multimedia transmission over time-varying wireless channels presents a number of challenges beyond existing capabilities conceived so far for third-generation networks. Efficient quality-of-service (QoS) provisioning for multimedia on these channels may in particular require a loosening and a rethinking of the layer separation principle. In that context, joint source-channel decoding (JSCD) strategies have gained attention as viable alternatives to separate decoding of source and channel codes. A statistical framework based on hidden Markov models (HMMs) capturing dependencies between the source and channel coding components sets the foundation for optimal design of techniques of joint decoding of source and channel codes. The problem has been largely addressed in the research community, by considering both fixed-length codes (FLC) and variable-length source codes (VLC) widely used in compression standards. Joint source-channel decoding of VLC raises specific difficulties due to the fact that the segmentation of the received bitstream into source symbols is random. This paper makes a survey of recent theoretical and practical advances in the area of JSCD with soft information of VLC-encoded sources. It first describes the main paths followed for designing efficient estimators for VLC-encoded sources, the key component of the JSCD iterative structure. It then presents the main issues involved in the application of the turbo principle to JSCD of VLC-encoded sources as well as the main approaches to source-controlled channel decoding. This survey terminates by performance illustrations with real image and video decoding systems.