Hardcover ISBN: | 978-0-8218-3467-1 |
Product Code: | DIMACS/66 |
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eBook ISBN: | 978-1-4704-4023-7 |
Product Code: | DIMACS/66.E |
List Price: | $121.00 |
MAA Member Price: | $108.90 |
AMS Member Price: | $96.80 |
Hardcover ISBN: | 978-0-8218-3467-1 |
eBook: ISBN: | 978-1-4704-4023-7 |
Product Code: | DIMACS/66.B |
List Price: | $250.00 $189.50 |
MAA Member Price: | $225.00 $170.55 |
AMS Member Price: | $200.00 $151.60 |
Hardcover ISBN: | 978-0-8218-3467-1 |
Product Code: | DIMACS/66 |
List Price: | $129.00 |
MAA Member Price: | $116.10 |
AMS Member Price: | $103.20 |
eBook ISBN: | 978-1-4704-4023-7 |
Product Code: | DIMACS/66.E |
List Price: | $121.00 |
MAA Member Price: | $108.90 |
AMS Member Price: | $96.80 |
Hardcover ISBN: | 978-0-8218-3467-1 |
eBook ISBN: | 978-1-4704-4023-7 |
Product Code: | DIMACS/66.B |
List Price: | $250.00 $189.50 |
MAA Member Price: | $225.00 $170.55 |
AMS Member Price: | $200.00 $151.60 |
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Book DetailsDIMACS - Series in Discrete Mathematics and Theoretical Computer ScienceVolume: 66; 2004; 339 ppMSC: Primary 94
This book is a collection of articles written by leading researchers in information theory stemming from the DIMACS Workshop on Network Information held at Rutgers University (Piscataway, NJ). The articles focus on problems concerning efficient and reliable communication in multi-terminal settings. Information theory has recently attracted renewed attention because of key developments spawning challenging research problems.
The material is divided into four parts: “Information Theory for Sources”, which concentrates on network source coding problems; “Information Theory for Channels”, where channels, rather than sources, are central to the problem; “Information Theory for Sources and Channels”, which addresses both source and channel coding; and “Coding”, which deals with more practical issues. Mathematicians using applications such as wireless cellular and LAN data services, ad hoc networks and sensor networks will benefit from the developments outlined in these sections. The book is suitable for graduate students and research mathematicians interested in communications and network information theory.
Co-published with the Center for Discrete Mathematics and Theoretical Computer Science beginning with Volume 8. Volumes 1–7 were co-published with the Association for Computer Machinery (ACM).
ReadershipGraduate students and research mathematicians interested in information theory.
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Table of Contents
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Part I. Information theory for sources
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Source coding and parallel routing
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Compressing a representation of events in a concurrent system
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Sum rate of a class of multiterminal Gaussian source coding problems
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Coding theorems for reversible embedding
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Part II. Information theory for channels
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Unbounded loss in writing on dirty paper is possible
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A game-theoretic look at the Gaussian multiaccess channel
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Bounds on the sum timing capacity of single-server queues with multiple input and output terminals
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Job scheduling and multiple access
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Fading Gaussian broadcast channels with state information at the receivers
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Wireless network information theory
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The structure of least-favorable noise in Gaussian vector broadcast channels
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Part III. Information theory for sources and channels
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Coding theorems for the sensor reachback problem with partially cooperating nodes
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Linear network codes: A unified framework for source, channel, and network coding
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On source-channel communication in networks
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Duality in multi-user source and channel coding
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Part IV. Coding
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Noiseless data compression with low-density parity-check codes
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Diversity embedding in multiple antenna communications
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Cooperative communication in wireless systems
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Hybrid ARQ with random transmission assignments
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An information-theoretic approach to bit-stuffing for network protocols
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RequestsReview Copy – for publishers of book reviewsAccessibility – to request an alternate format of an AMS title
- Book Details
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This book is a collection of articles written by leading researchers in information theory stemming from the DIMACS Workshop on Network Information held at Rutgers University (Piscataway, NJ). The articles focus on problems concerning efficient and reliable communication in multi-terminal settings. Information theory has recently attracted renewed attention because of key developments spawning challenging research problems.
The material is divided into four parts: “Information Theory for Sources”, which concentrates on network source coding problems; “Information Theory for Channels”, where channels, rather than sources, are central to the problem; “Information Theory for Sources and Channels”, which addresses both source and channel coding; and “Coding”, which deals with more practical issues. Mathematicians using applications such as wireless cellular and LAN data services, ad hoc networks and sensor networks will benefit from the developments outlined in these sections. The book is suitable for graduate students and research mathematicians interested in communications and network information theory.
Co-published with the Center for Discrete Mathematics and Theoretical Computer Science beginning with Volume 8. Volumes 1–7 were co-published with the Association for Computer Machinery (ACM).
Graduate students and research mathematicians interested in information theory.
-
Part I. Information theory for sources
-
Source coding and parallel routing
-
Compressing a representation of events in a concurrent system
-
Sum rate of a class of multiterminal Gaussian source coding problems
-
Coding theorems for reversible embedding
-
Part II. Information theory for channels
-
Unbounded loss in writing on dirty paper is possible
-
A game-theoretic look at the Gaussian multiaccess channel
-
Bounds on the sum timing capacity of single-server queues with multiple input and output terminals
-
Job scheduling and multiple access
-
Fading Gaussian broadcast channels with state information at the receivers
-
Wireless network information theory
-
The structure of least-favorable noise in Gaussian vector broadcast channels
-
Part III. Information theory for sources and channels
-
Coding theorems for the sensor reachback problem with partially cooperating nodes
-
Linear network codes: A unified framework for source, channel, and network coding
-
On source-channel communication in networks
-
Duality in multi-user source and channel coding
-
Part IV. Coding
-
Noiseless data compression with low-density parity-check codes
-
Diversity embedding in multiple antenna communications
-
Cooperative communication in wireless systems
-
Hybrid ARQ with random transmission assignments
-
An information-theoretic approach to bit-stuffing for network protocols