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Joint Source and Channel Coding

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TLDR
It is shown that in general there is an inherent and significant loss of optimality if a joint source/channel linear encoder is used when the goal is relaxed to reproduction of the source within some specified non-negligible distortion.
Abstract
: The advantages and disadvantages of combining the functions of source coding ('data compression') and channel coding ('error correction') into a single coding unit are considered. Particular attention is given to linear encoders, both for sources and for channels, because their ease of implementation makes their use desirable in practice. It is shown that, without loss of optimality, a joint source/channel linear encoder may be used when the goal is the distortionless reproduction of the source at the destination. On the other hand, it is shown that in general there is an inherent and significant loss of optimality if a joint source/channel linear encoder is used when the goal is relaxed to reproduction of the source within some specified non-negligible distortion. (Author)

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Journal ArticleDOI

Use of residual redundancy in the design of joint source/channel coders

TL;DR: A technique for providing error protection without the additional overhead required for channel coding is presented, and is applied to image coding using differential pulse code modulation (DPCM), and obtain substantial performance gains, both in terms of objective and subjective measures.

Transactions Papers Use of Residual Redundancy in the Design of Joint Source/Channel Coders

TL;DR: In this paper, a technique for providing error protection without the additional overhead required for channel coding is presented, where the residual redundancy can then be used to provide error protection in much the same way as the insertion of redundancy in convolutional coding provides error protection.
Journal ArticleDOI

Joint source/channel coding for variable length codes

TL;DR: This paper proposes a technique which utilizes the residual redundancy at the output of the source coder to provide error protection for entropy coded systems.
Proceedings ArticleDOI

To code or not to code

TL;DR: In this paper, necessary and sufficient conditions for the optimality of uncoded transmission are shown and these conditions allow the construction of arbitrary examples of optimal uncodes transmission (beyond the well-known Gaussian example).
Proceedings ArticleDOI

Joint source/channel coding for variable length codes

N. Demir, +1 more
TL;DR: A technique which utilizes the residual redundancy at the output of the source coder to provide error protection for entropy coded systems at a reduced rate is proposed.
References
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Journal ArticleDOI

A mathematical theory of communication

TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.
Book

Information Theory and Reliable Communication

TL;DR: This chapter discusses Coding for Discrete Sources, Techniques for Coding and Decoding, and Source Coding with a Fidelity Criterion.
Journal ArticleDOI

Error-correcting codes

Book

Transmission of information

TL;DR: A warning device associated with arotatable body comprising means on the rotatable body for creating a magnetic field, a receiving coil on a relatively stationary member arranged such that a warning is given upon occurrence of a predetermined condition, such as pressure of a vehicle wheel deviating outside a predetermined limit.