Author: Toby Berger
Publisher:
ISBN: 9780137531035
Category : Codage (Informatique)
Languages : en
Pages : 311
Book Description
Rate Distortion Theory
Author: Toby Berger
Publisher:
ISBN: 9780137531035
Category : Codage (Informatique)
Languages : en
Pages : 311
Book Description
Publisher:
ISBN: 9780137531035
Category : Codage (Informatique)
Languages : en
Pages : 311
Book Description
Elements of Information Theory
Author: Thomas M. Cover
Publisher: John Wiley & Sons
ISBN: 1118585771
Category : Computers
Languages : en
Pages : 788
Book Description
The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory. All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points. The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated references Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.
Publisher: John Wiley & Sons
ISBN: 1118585771
Category : Computers
Languages : en
Pages : 788
Book Description
The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory. All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points. The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated references Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.
On the Evaluation of Rate Distortion Functions
Author: Harry Hu Tan
Publisher:
ISBN:
Category : Rate distortion theory
Languages : en
Pages : 181
Book Description
The rate distortion function of a source represents the minimum information rate at which the source can be transmitted to be reproduced within some prescribed average distortion. This function is of considerable interest in source coding and data compression problems. One of the limitations of the usefulness of rate distortion theory is the difficulty in evaluating the rate distortion function for many sources and distortion measures. The research presented in this report is concerned with the evaluation of the rate distortion function for various classes of sources and distortion measures. (Author).
Publisher:
ISBN:
Category : Rate distortion theory
Languages : en
Pages : 181
Book Description
The rate distortion function of a source represents the minimum information rate at which the source can be transmitted to be reproduced within some prescribed average distortion. This function is of considerable interest in source coding and data compression problems. One of the limitations of the usefulness of rate distortion theory is the difficulty in evaluating the rate distortion function for many sources and distortion measures. The research presented in this report is concerned with the evaluation of the rate distortion function for various classes of sources and distortion measures. (Author).
Rate Distortion Functions for Discrete Sources with Continuous Reproductions
Author: Theodore William Benjamin
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 120
Book Description
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 120
Book Description
Advances in Source Coding
Author: Toby Berger
Publisher: Springer
ISBN: 3709129281
Category : Computers
Languages : en
Pages : 67
Book Description
Publisher: Springer
ISBN: 3709129281
Category : Computers
Languages : en
Pages : 67
Book Description
Information Theory and Rate Distortion Theory for Communications and Compression
Author: Jerry Gibson
Publisher: Morgan & Claypool Publishers
ISBN: 1598298089
Category : Technology & Engineering
Languages : en
Pages : 129
Book Description
This book is very specifically targeted to problems in communications and compression by providing the fundamental principles and results in information theory and rate distortion theory for these applications and presenting methods that have proved and will prove useful in analyzing and designing real systems. The chapters contain treatments of entropy, mutual information, lossless source coding, channel capacity, and rate distortion theory; however, it is the selection, ordering, and presentation of the topics within these broad categories that is unique to this concise book. While the coverage of some standard topics is shortened or eliminated, the standard, but important, topics of the chain rules for entropy and mutual information, relative entropy, the data processing inequality, and the Markov chain condition receive a full treatment. Similarly, lossless source coding techniques presented include the Lempel-Ziv-Welch coding method. The material on rate Distortion theory and exploring fundamental limits on lossy source coding covers the often-neglected Shannon lower bound and the Shannon backward channel condition, rate distortion theory for sources with memory, and the extremely practical topic of rate distortion functions for composite sources. The target audience for the book consists of graduate students at the master's degree level and practicing engineers. It is hoped that practicing engineers can work through this book and comprehend the key results needed to understand the utility of information theory and rate distortion theory and then utilize the results presented to analyze and perhaps improve the communications and compression systems with which they are familiar.
Publisher: Morgan & Claypool Publishers
ISBN: 1598298089
Category : Technology & Engineering
Languages : en
Pages : 129
Book Description
This book is very specifically targeted to problems in communications and compression by providing the fundamental principles and results in information theory and rate distortion theory for these applications and presenting methods that have proved and will prove useful in analyzing and designing real systems. The chapters contain treatments of entropy, mutual information, lossless source coding, channel capacity, and rate distortion theory; however, it is the selection, ordering, and presentation of the topics within these broad categories that is unique to this concise book. While the coverage of some standard topics is shortened or eliminated, the standard, but important, topics of the chain rules for entropy and mutual information, relative entropy, the data processing inequality, and the Markov chain condition receive a full treatment. Similarly, lossless source coding techniques presented include the Lempel-Ziv-Welch coding method. The material on rate Distortion theory and exploring fundamental limits on lossy source coding covers the often-neglected Shannon lower bound and the Shannon backward channel condition, rate distortion theory for sources with memory, and the extremely practical topic of rate distortion functions for composite sources. The target audience for the book consists of graduate students at the master's degree level and practicing engineers. It is hoped that practicing engineers can work through this book and comprehend the key results needed to understand the utility of information theory and rate distortion theory and then utilize the results presented to analyze and perhaps improve the communications and compression systems with which they are familiar.
Rate Distortion Bounds for Voice and Video
Author: Jerry D. Gibson
Publisher: Now Pub
ISBN: 9781601987785
Category : Computers
Languages : en
Pages : 152
Book Description
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.
Publisher: Now Pub
ISBN: 9781601987785
Category : Computers
Languages : en
Pages : 152
Book Description
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.
The Rate-distortion Function of a Binary Symmetric Source when Side Information May be Absent
Author: Kenneth James Kerpez
Publisher:
ISBN:
Category : Coding theory
Languages : en
Pages : 88
Book Description
Publisher:
ISBN:
Category : Coding theory
Languages : en
Pages : 88
Book Description
Source Coding Theory
Author: Robert M. Gray
Publisher: Springer Science & Business Media
ISBN: 146131643X
Category : Technology & Engineering
Languages : en
Pages : 197
Book Description
Source coding theory has as its goal the characterization of the optimal performance achievable in idealized communication systems which must code an information source for transmission over a digital communication or storage channel for transmission to a user. The user must decode the information into a form that is a good approximation to the original. A code is optimal within some class if it achieves the best possible fidelity given whatever constraints are imposed on the code by the available channel. In theory, the primary constraint imposed on a code by the channel is its rate or resolution, the number of bits per second or per input symbol that it can transmit from sender to receiver. In the real world, complexity may be as important as rate. The origins and the basic form of much of the theory date from Shan non's classical development of noiseless source coding and source coding subject to a fidelity criterion (also called rate-distortion theory) [73] [74]. Shannon combined a probabilistic notion of information with limit theo rems from ergodic theory and a random coding technique to describe the optimal performance of systems with a constrained rate but with uncon strained complexity and delay. An alternative approach called asymptotic or high rate quantization theory based on different techniques and approx imations was introduced by Bennett at approximately the same time [4]. This approach constrained the delay but allowed the rate to grow large.
Publisher: Springer Science & Business Media
ISBN: 146131643X
Category : Technology & Engineering
Languages : en
Pages : 197
Book Description
Source coding theory has as its goal the characterization of the optimal performance achievable in idealized communication systems which must code an information source for transmission over a digital communication or storage channel for transmission to a user. The user must decode the information into a form that is a good approximation to the original. A code is optimal within some class if it achieves the best possible fidelity given whatever constraints are imposed on the code by the available channel. In theory, the primary constraint imposed on a code by the channel is its rate or resolution, the number of bits per second or per input symbol that it can transmit from sender to receiver. In the real world, complexity may be as important as rate. The origins and the basic form of much of the theory date from Shan non's classical development of noiseless source coding and source coding subject to a fidelity criterion (also called rate-distortion theory) [73] [74]. Shannon combined a probabilistic notion of information with limit theo rems from ergodic theory and a random coding technique to describe the optimal performance of systems with a constrained rate but with uncon strained complexity and delay. An alternative approach called asymptotic or high rate quantization theory based on different techniques and approx imations was introduced by Bennett at approximately the same time [4]. This approach constrained the delay but allowed the rate to grow large.
Structural Properties of Rate Distortion Functions
Author: Webster Dale Hopkins
Publisher:
ISBN:
Category : Rate distortion theory
Languages : en
Pages : 154
Book Description
Publisher:
ISBN:
Category : Rate distortion theory
Languages : en
Pages : 154
Book Description