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.


Source-Channel Coding Techniques in the Presence of Interference and Noise

Source-Channel Coding Techniques in the Presence of Interference and Noise

Author:

Publisher:

Published: 2015

Total Pages: 324

ISBN-13:

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As wireless systems proliferate worldwide, interference is becoming one of the main problems for system designers. Interference, which occurs when multiple transmissions take place over a common communication medium, limits system performance. Wireless devices can coordinate the use of scarce radio resources in order to manage the interference and establish successful communication. To effectively deal with the interference problem, some wireless devices must have a certain level of knowledge about the interference. In practice, this knowledge comes at the expense of using more resources (such as employing a proper channel training mechanism). With the remaining available resources, the question is how to achieve reliable communication? This thesis investigates an information theoretic approach and employs several coding techniques to improve system performance by either cancelling the interference or extracting knowledge from it about the information signal. The first part of this thesis considers the transmission of information signals over a fading channel that is disturbed with additional interference. The system's information theoretic limit in terms of mean square error distortion is assessed. Moreover, hybrid coding schemes are proposed and analyzed to obtain an achievable performance. As an extension to this problem, source channel-state estimation is investigated; in this case, the receiver is interested in estimating the information signal and the channel-state (interference). It is shown that the achievable performance is close to the derived limit. Motivated by multi-terminal systems, the transmission of a pair of sources over the two-user Gaussian broadcast channel in the presence of interference is then studied. Inner and outer bounds on the system's mean square error distortion are obtained. Unlike the first part of the thesis, in the second part, two additional constraints are added to the picture: 1) low coding delay and 2) low complexity. Similar communication scenarios as the ones in the first part are investigated under low delay and complexity requirements. These two constraints are motivated by the increased popularity of wireless sensor networks; a sensor node, often conceived as having limited lifetime and processing power, communicates its sensed field information to a fusion centre over a noisy wireless channel. To meet these challenges, we propose to use analog source-channel mappings. Parametric and nonparametric mappings are investigated in this last part of the thesis; it is noted that parametric mappings based on spiral and sawtooth curves are able to outperform linear scheme. Moreover, nonparametric mappings based on joint optimization of the encoder and the decoder are shown to outperform other low delay schemes.


A First Course in Information Theory

A First Course in Information Theory

Author: Raymond W. Yeung

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 426

ISBN-13: 1441986081

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This book provides an up-to-date introduction to information theory. In addition to the classical topics discussed, it provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory. ITIP, a software package for proving information inequalities, is also included. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields.


Electromagnetic Noise and Quantum Optical Measurements

Electromagnetic Noise and Quantum Optical Measurements

Author: Hermann A. Haus

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 572

ISBN-13: 3662041901

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From the reviews: "Haus’ book provides numerous insights on topics of wide importance, and contains much material not available elsewhere in book form. [...] an indispensable resource for those working in quantum optics or electronics." Optics & Photonics News


Digital Terrain Modeling

Digital Terrain Modeling

Author: Zhilin Li

Publisher: CRC Press

Published: 2004-11-29

Total Pages: 337

ISBN-13: 0203486749

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Written by experts, Digital Terrain Modeling: Principles and Methodology provides comprehensive coverage of recent developments in the field. The topics include terrain analysis, sampling strategy, acquisition methodology, surface modeling principles, triangulation algorithms, interpolation techniques, on-line and off-line quality control in data a


Aspects of Multivariate Statistical Theory

Aspects of Multivariate Statistical Theory

Author: Robb J. Muirhead

Publisher: John Wiley & Sons

Published: 2009-09-25

Total Pages: 706

ISBN-13: 0470316705

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The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. ". . . the wealth of material on statistics concerning the multivariate normal distribution is quite exceptional. As such it is a very useful source of information for the general statistician and a must for anyone wanting to penetrate deeper into the multivariate field." -Mededelingen van het Wiskundig Genootschap "This book is a comprehensive and clearly written text on multivariate analysis from a theoretical point of view." -The Statistician Aspects of Multivariate Statistical Theory presents a classical mathematical treatment of the techniques, distributions, and inferences based on multivariate normal distribution. Noncentral distribution theory, decision theoretic estimation of the parameters of a multivariate normal distribution, and the uses of spherical and elliptical distributions in multivariate analysis are introduced. Advances in multivariate analysis are discussed, including decision theory and robustness. The book also includes tables of percentage points of many of the standard likelihood statistics used in multivariate statistical procedures. This definitive resource provides in-depth discussion of the multivariate field and serves admirably as both a textbook and reference.


Signal Processing for Communications

Signal Processing for Communications

Author: Paolo Prandoni

Publisher: Collection Savoir suisse

Published: 2008-06-17

Total Pages: 392

ISBN-13: 2940222207

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With a novel, less classical approach to the subject, the authors have written a book with the conviction that signal processing should be taught to be fun. The treatment is therefore less focused on the mathematics and more on the conceptual aspects, the idea being to allow the readers to think about the subject at a higher conceptual level, thus building the foundations for more advanced topics. The book remains an engineering text, with the goal of helping students solve real-world problems. In this vein, the last chapter pulls together the individual topics as discussed throughout the book into an in-depth look at the development of an end-to-end communication system, namely, a modem for communicating digital information over an analog channel.


The Content Analysis Guidebook

The Content Analysis Guidebook

Author: Kimberly A. Neuendorf

Publisher: SAGE

Published: 2017

Total Pages: 457

ISBN-13: 1412979471

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Content analysis is a complex research methodology. This book provides an accessible text for upper level undergraduates and graduate students, comprising step-by-step instructions and practical advice.