Joint Source-Channel Coding

Joint Source-Channel Coding

Author: Andres Kwasinski

Publisher: John Wiley & Sons

Published: 2023-01-04

Total Pages: 404

ISBN-13: 1119978521

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Consolidating knowledge on Joint Source-Channel Coding (JSCC), this book provides an indispensable resource on a key area of performance enhancement for communications networks Presenting in one volume the key theories, concepts and important developments in the area of Joint Source-Channel Coding (JSCC), this book provides the fundamental material needed to enhance the performance of digital and wireless communication systems and networks. It comprehensively introduces JSCC technologies for communications systems, including coding and decoding algorithms, and emerging applications of JSCC in current wireless communications. The book covers the full range of theoretical and technical areas before concluding with a section considering recent applications and emerging designs for JSCC. A methodical reference for academic and industrial researchers, development engineers, system engineers, system architects and software engineers, this book: Explains how JSCC leads to high performance in communication systems and networks Consolidates key material from multiple disparate sources Is an ideal reference for graduate-level courses on digital or wireless communications, as well as courses on information theory Targets professionals involved with digital and wireless communications and networking systems


On Robust and Energy-limited Joint Source-channel Coding

On Robust and Energy-limited Joint Source-channel Coding

Author: Erman Koken

Publisher:

Published: 2017

Total Pages: 108

ISBN-13: 9780355472646

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In this thesis we investigate the lossy transmission of single and bivariate Gaussian sources over bandwidth-mismatched additive Gaussian white noise and broadcast channels. For these scenarios we proposed novel hybrid digital/analog based joint source-channel coding schemes which generalize or outperform existing schemes. In the first scenario we assume that side information is available at the receiver, channel state information of additive interference is available at the transmitter, and power is limited. For this scenario we proposed hybrid digital/analog schemes, for both bandwidth expansion and bandwidth compression cases, which can attain the optimum reconstruction levels. For bandwidth expansion we showed that the scheme can attain optimum distortion levels for a set of receivers with different side information and channel qualities simultaneously with a single set of scheme parameters. In the second scenario, where no side information or interference are present, we consider the robustness of scheme where it must attain the optimal distortion at a target signal-to-noise-ratio and we would like to attain the best distortion pair for two possible receivers one with better and the other with worse channel quality. We extended Tian et al.'s result to a set of non-integer bandwidth expansion ratios. Then we investigate the transmission of bivariate sources over broadcast channels. For this scenario we proposed a scheme which outperforms the known schemes which are either purely digital or hybrid schemes. Finally we analyzed energy-distortion tradeoff for lossy transmission of a Gaussian source over bandwidth-unlimited channel. We performed asymptotical analyses as signal- to-noise-ratio goes to infinity. We also considered zero-delay transmission of the source.


An Introduction to Single-User Information Theory

An Introduction to Single-User Information Theory

Author: Fady Alajaji

Publisher: Springer

Published: 2018-04-24

Total Pages: 333

ISBN-13: 9811080011

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This book presents a succinct and mathematically rigorous treatment of the main pillars of Shannon’s information theory, discussing the fundamental concepts and indispensable results of Shannon’s mathematical theory of communications. It includes five meticulously written core chapters (with accompanying problems), emphasizing the key topics of information measures; lossless and lossy data compression; channel coding; and joint source-channel coding for single-user (point-to-point) communications systems. It also features two appendices covering necessary background material in real analysis and in probability theory and stochastic processes. The book is ideal for a one-semester foundational course on information theory for senior undergraduate and entry-level graduate students in mathematics, statistics, engineering, and computing and information sciences. A comprehensive instructor’s solutions manual is available.


Analog Joint Source Channel Coding for Multi Terminal and Non-linear Channels

Analog Joint Source Channel Coding for Multi Terminal and Non-linear Channels

Author: Mohamed K. Hassanin

Publisher:

Published: 2018

Total Pages: 119

ISBN-13: 9780438595552

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This dissertation discusses various problems in analog Joint Source Channel Coding (JSCC). Analog JSCC is an attractive communication scheme due to its encoding/decoding simplicity, and its ability to achieve near-optimal performance using very short code lengths. JSCC systems have received a renewed interest in recent years due to, among other factors, the sub-optimality of separation based schemes in many situations in multi-terminal communications. Different from traditional digital communication systems which utilize a quantizer followed by a source code and a channel code, analog JSCC systems combine source and channel coding into a single block and deal with real numbers. ☐ We present original work on the application of space filling curves, a common scheme in analog coding, to different communication scenarios. We begin by examining how to extend the use of space filling curves to non-linear channels with Inter-Symbol Interference (ISI). This type of channel arises when considering acoustic communications in the underwater environment, where the power amplifier used for communication is highly non-linear, and multi-path propagation causes ISI. We first study a simplified version of the acoustic channel assuming a frequency flat (no ISI) response, developing a scheme to adapt space filling curves to the simplified channel and studying its theoretical limits. Then, we extend our work to the complete end-to-end acoustic channel (including ISI), presenting a communication system for the end-to-end channel. ☐ We then investigate the problem of transmitting independent sources over the Gaussian Multiple Access Channel (MAC). The Gaussian MAC consists of two or more users communicating information to a central receiver over a shared noisy physical channel. We introduce an analog CDMA-like access scheme that allows users to transmit at different rates over the MAC. The developed access scheme is suitable for the transmission of analog JSCC encoded sources. The CDMA-like access scheme will be proven to be optimal for a particular case when the channel degrees of freedom are assigned amongst the users in a particular way. We will then present a hybrid analog-digital scheme which is an extension of the analog CDMA-like access scheme. The hybrid scheme uses analog and digital codes, designed for the point-to-point channel, and will be proven to be optimal for the entire region of the MAC. ☐ Finally, the dissertation introduces a new communication scheme for the two-user Gaussian Broadcast channel. The channel consists of a common transmitter wishing to communicate information to two receivers over a noisy Gaussian channel. The broadcast channel is an interesting case, since in general separation based schemes cannot achieve the theoretical limits. The new developed scheme is a variant of Scalar Quantizer Linear Coder (SQLC) systems, and is suitable for transmitting correlated Bivariate Gaussian sources. The scheme will be analyzed and shown to outperform the best known separation based schemes.


Advances in Network Information Theory

Advances in Network Information Theory

Author: Piyush Gupta, Gerhard Kramer, and Adriaan J. van Wijngaarden

Publisher: American Mathematical Soc.

Published:

Total Pages: 356

ISBN-13: 9780821871089

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Information theory has recently attracted renewed attention because of key developments spawning challenging research problems." "The book is suitable for graduate students and research mathematicians interested in communications and network information theory."--Jacket.


Channel Coding in the Presence of Side Information

Channel Coding in the Presence of Side Information

Author: Guy Keshet

Publisher: Now Publishers Inc

Published: 2008

Total Pages: 154

ISBN-13: 1601980485

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Channel Coding in the Presence of Side Information reviews the concepts and methods of communication systems equipped with side information both from the theoretical and practical points of view. It is a comprehensive review that gives the reader an insightful introduction to one of the most important topics in modern communications systems.


A Hybrid Analog-digital Coding Scheme for Digital Sources

A Hybrid Analog-digital Coding Scheme for Digital Sources

Author: Lu Li

Publisher:

Published: 2018

Total Pages: 115

ISBN-13: 9780438600409

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Traditional analog and digital coding systems present their own advantages and constraints. Digital systems show excellent BER performance, but optimizing them over a wide range of signal to noise ratios (SNR) requires switching between different systems (e.g., adaptive coding). Analog systems allow high throughput communications over a wide dynamic range, but their bit error rate (BER) performance is not as good as in digital schemes. The aim of this work is to explore how to overcome these drawbacks by properly integrating both analog and digital systems into a hybrid one. ☐ The proposed hybrid coding scheme is realized by parallel concatenation of Rate Compatible Modulation (RCM) and a Low Density Generator Matrix (LDGM) code. RCM generates its output symbols by standard linear combinations of input bits. In addition, an LDGM code produces a few output bits. Because of dense constellation and fine-grain energy accumulation, RCM is able to achieve smooth rate adaptation, but it experiences performance degradation due to the presence of error floors. The introduction of the LDGM code allows to reduce most of the residual errors, substantially improving the system performance. ☐ This work considers the application of the hybrid scheme to point-to-point AWGN channels and to multiple access channels (MAC). For AWGN channels, our study focuses on optimizing the design for uniform and non-uniform memoryless sources. Decoding is implemented by building an appropriate graph and performing belief propagation. The influence of several design parameters on the system performance and the existing trade-offs are discussed. The proposed hybrid coding scheme achieves better performance than traditional joint source channel coding techniques in terms of gaps to the theoretical limit. We also introduce a simplified decoding technique for the proposed hybrid scheme. The idea is to treat the coded symbols as real values, and to use a Gaussian approximation, so that very simple analog message passing can be applied. This substantially reduces the decoding complexity, while the system performance does not experience significant degradation. ☐ For the MAC, a synthetic decoder structure and decoding algorithm has been developed and studied to tackle the ambiguity problem resulting from the existence of multi-level symbols proceeding from the RCM sub-block. The synthetic decoder also reduces the computational complexity by jointly considering messages propagated in the graph. As we will see, the hybrid scheme can achieve high transmission rates with good BER performance in MAC environments, even when the simplified decoding technique is applied.