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This book provides the first comprehensive and easy-to-read discussion of joint source-channel encoding and decoding for source signals with continuous amplitudes. It is a state-of-the-art presentation of this exciting, thriving field of research, making pioneering contributions to the new concept of source-adaptive modulation.The book starts with the basic theory and the motivation for a joint realization of source and channel coding. Specialized chapters deal with practically relevant scenarios such as iterative source-channel decoding and its optimization for a given encoder, and also improved encoder designs by channel-adaptive quantization or source-adaptive modulation.Although Information Theory is not the main topic of the book — in fact, the concept of joint source-channel coding is contradictory to the classical system design motivated by a questionable practical interpretation of the separation theorem — this theory still provides the ultimate performance limits for any practical system, whether it uses joint source-channel coding or not. Therefore, the theoretical limits are presented in a self-contained appendix, which is a useful reference also for those not directly interested in the main topic of this book./a
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
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.
Speech coding has been an ongoing area of research for several decades, yet the level of activity and interest in this area has expanded dramatically in the last several years. Important advances in algorithmic techniques for speech coding have recently emerged and excellent progress has been achieved in producing high quality speech at bit rates as low as 4.8 kb/s. Although the complexity of the newer more sophisticated algorithms greatly exceeds that of older methods (such as ADPCM), today's powerful programmable signal processor chips allow rapid technology transfer from research to product development and permit many new cost-effective applications of speech coding. In particular, low bit rate voice technology is converging with the needs of the rapidly evolving digital telecom munication networks. The IEEE Workshop on Speech Coding for Telecommunications was held in Vancouver, British Columbia, Canada, from September 5 to 8, 1989. The objective of the workshop was to provide a forum for discussion of recent developments and future directions in speech coding. The workshop attracted over 130 researchers from several countries and its technical program included 51 papers.
Gives the tools to develop applications in video broadcasting with the improved quality of service offered by joint-source channel decoding.
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.