Jerry D. Gibson

Drawing on their experience in industry, research, and academia, this powerful author team combines their expertise to provide an accessible guide to data compression standards and techniques and their applications. The essential ideas and motivation behind the various compression methods are presented, and insight is provided into the evolution of the standards. Standards-compliant design alternatives are discussed, and some noncompliant designs also are treated. Covering the fundamental underpinnings of the most widely used compression methods, this book is intended for engineers and computer scientists designing, manufacturing, and implementing compression systems, as well as system integrators, technical managers, and researchers. It provides, in a single source, an overview of the current standards for speech, audio, video, image, fax, and file compression. Authored by five experts from industry and academia who are heavily involved in research, development, and standards-setting activities Covers the full spectrum of multimedia compression standards including those for lossless data compression, speech coding, high-quality audio coding, still image compression, facsimile, and video compression Provides enough theory for you to understand the building blocks of the compression systems discussed, with appendices containing necessary algorithmic details and mathematical foundations

This book provides readers with the fundamentals of information theoretic techniques for statistical data science analyses and for characterizing the behavior and performance of a learning agent outside of the standard results on communications and compression fundamental limits. Readers will benefit from the presentation of information theoretic quantities, definitions, and results that provide or could provide insights into data science and learning.

This book develops the concepts for the transmission of digital information sequences through analog, band limited channels, including the topics of pulse shaping, channels with amplitude and delay distortion, eye patterns, zero forcing and mean squared error equalization, and data scrambling. The text considers the effects of noise in digital communications, developing the fundamental ideas of signal space, optimum symbol-by-symbol detection, and modulation system design, with particular emphasis on maximum likelihood and maximum a posteriori detection and system performance comparisons based on energy per bit to noise ratio and average error probability. The key technique of maximum likelihood sequence estimation is also developed. Tutorial coverage provides an introduction to block and convolutional codes for error control coding, including coding and decoding methods for error detection and correction, tree and trellis representations, and Viterbi decoding. Some performance comparisons for selected codes in terms of energy per bit to noise ratio versus bit error probability are presented. This book examines joint coding and modulation methods such as constant envelope modulation and trellis coded modulation, including examples such as minimum shift keying and offset quadrature phase shift keying.

This book develops the basic concepts in understanding Analog Communications. Beginning with coverage of amplitude modulation, including the time and frequency domain representations of double sideband, single sideband, and vestigial sideband modulation, and introduces the student to the fundamental ideas of quadrature amplitude modulation, frequency division multiplexing, and digital communications using on-off keying. The author continues with additional discussion and coverage of the time and frequency domain representations of frequency and phase modulation, including bandwidth calculations, and the use of frequency shift keying, phase shift keying, and differential phase shift keying for the transmission of digital information. Contents include applications and further analyses of the effects of channel noise on amplitude, phase, and frequency modulation performance based on input versus output signal to noise ratios and some systemcomparisons are discussed.

This book provides the background and the mathematical methods necessary to understand the basic transforms in signal processing and linear systems and probability and random processes to prepare for in depth study of analog and digital communications systems. This tutorial presentation provides developments of Fourier series and other orthogonal series, including trigonometric and complex exponential Fourier series, least squares approximations and generalized Fourier series, and the spectral content of periodic signals. This text thoroughly covers Fourier transform pairs for continuous time signals, Fourier transform properties, and the magnitude and phase of Fourier transforms. The author includes discussions of techniques for the analysis of continuous time linear systems in the time and frequency domains with particular emphasis on the system transfer function, impulse response, system/filter bandwidth, power and energy calculations, and the time domainsampling theorem. The basics of probability and random processes, including the key concepts of expected value, variance, characteristic functions, common probability distributions, autocorrelation, power spectral densities, wide sense stationarity, and ergodicity, are all developed in some detail. Many examples and problems are included to illustrate and examine these topics. • Provides developments of Fourier series and other orthogonal series • Presents fundamental Fourier transform properties and example applications • Discusses techniques for the analysis of continuous time linear systems in the time and frequency domains • Presents a fundamental development of probability and random variables • Develops the basic ideas of random processes including autocorrelation, power spectral densities, stationarity, and ergodicity

This book develops the concepts for the transmission of digital information sequences through analog, band limited channels, including the topics of pulse shaping, channels with amplitude and delay distortion, eye patterns, zero forcing and mean squared error equalization, and data scrambling. The text considers the effects of noise in digital communications, developing the fundamental ideas of signal space, optimum symbol-by-symbol detection, and modulation system design, with particular emphasis on maximum likelihood and maximum a posteriori detection and system performance comparisons based on energy per bit to noise ratio and average error probability. The key technique of maximum likelihood sequence estimation is also developed. Tutorial coverage provides an introduction to block and convolutional codes for error control coding, including coding and decoding methods for error detection and correction, tree and trellis representations, and Viterbi decoding. Some performance comparisons for selected codes in terms of energy per bit to noise ratio versus bit error probability are presented. This book examines joint coding and modulation methods such as constant envelope modulation and trellis coded modulation, including examples such as minimum shift keying and offset quadrature phase shift keying.

This book develops the basic concepts in understanding Analog Communications. Beginning with coverage of amplitude modulation, including the time and frequency domain representations of double sideband, single sideband, and vestigial sideband modulation, and introduces the student to the fundamental ideas of quadrature amplitude modulation, frequency division multiplexing, and digital communications using on-off keying. The author continues with additional discussion and coverage of the time and frequency domain representations of frequency and phase modulation, including bandwidth calculations, and the use of frequency shift keying, phase shift keying, and differential phase shift keying for the transmission of digital information. Contents include applications and further analyses of the effects of channel noise on amplitude, phase, and frequency modulation performance based on input versus output signal to noise ratios and some systemcomparisons are discussed.

This book provides the background and the mathematical methods necessary to understand the basic transforms in signal processing and linear systems and probability and random processes to prepare for in depth study of analog and digital communications systems. This tutorial presentation provides developments of Fourier series and other orthogonal series, including trigonometric and complex exponential Fourier series, least squares approximations and generalized Fourier series, and the spectral content of periodic signals. This text thoroughly covers Fourier transform pairs for continuous time signals, Fourier transform properties, and the magnitude and phase of Fourier transforms. The author includes discussions of techniques for the analysis of continuous time linear systems in the time and frequency domains with particular emphasis on the system transfer function, impulse response, system/filter bandwidth, power and energy calculations, and the time domainsampling theorem. The basics of probability and random processes, including the key concepts of expected value, variance, characteristic functions, common probability distributions, autocorrelation, power spectral densities, wide sense stationarity, and ergodicity, are all developed in some detail. Many examples and problems are included to illustrate and examine these topics. • Provides developments of Fourier series and other orthogonal series • Presents fundamental Fourier transform properties and example applications • Discusses techniques for the analysis of continuous time linear systems in the time and frequency domains • Presents a fundamental development of probability and random variables • Develops the basic ideas of random processes including autocorrelation, power spectral densities, stationarity, and ergodicity

Numerous voice, still image, audio, and video compression standards have been developed over the last 25 years, and significant advances in the state of the art have been achieved. However, in the more than 50 years since Shannon's seminal 1959 paper, no rate distortion bounds for voice and video have been forthcoming. This volume presents the first Rate Distortion Bounds for Voice and Video that actually lower bound the operational rate distortion performance of the best-performing voice and video codecs. Recently there has been much concern expressed about the gap between lossy compression theory and practice. Rate Distortion Bounds for Voice and Video specifies, for the first time, this gap for voice and video, and points the way forward to improving the performance of practical voice and video codecs. Recent results on obtaining rate distortion functions for both voice and video sources are presented, which overcome past limitations on source modeling by employing composite source models to achieve more accurate modeling of the different voice and video source modes. This is essential reading for researchers in Information Theory and Signal Processing working on theoretical and practical aspects of data compression.