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Lattice coding for signals and netwo...
~
Zamir, Ram.
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Lattice coding for signals and networks : = a structured coding approach to quantization, modulation and multi-user information theory /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Lattice coding for signals and networks :/ Ram Zamir ; with contributions by Bobak Nazer and Yuval Kochman ; and with illustrations by Ilai Bistritz.
Reminder of title:
a structured coding approach to quantization, modulation and multi-user information theory /
Author:
Zamir, Ram.
other author:
Nazer, Bobak.
Published:
Cambridge :Cambridge University Press, : 2014.,
Description:
xx, 437 p. :ill. ;26 cm.
Subject:
Coding theory. -
ISBN:
9780521766982
Lattice coding for signals and networks : = a structured coding approach to quantization, modulation and multi-user information theory /
Zamir, Ram.
Lattice coding for signals and networks :
a structured coding approach to quantization, modulation and multi-user information theory /Ram Zamir ; with contributions by Bobak Nazer and Yuval Kochman ; and with illustrations by Ilai Bistritz. - Cambridge :Cambridge University Press,2014. - xx, 437 p. :ill. ;26 cm.
Includes bibliographical references (p. [408]-424) and index.
Introduction --
"Unifying information theory and digital communication through the language of lattice codes, this book provides a detailed overview for students, researchers and industry practitioners. It covers classical work by leading researchers in the field of lattice codes and complementary work on dithered quantization and infinite constellations, and then introduces the more recent results on 'algebraic binning' for side-information problems, and linear/lattice codes for networks. It shows how high dimensional lattice codes can close the gap to the optimal information theoretic solution, including the characterisation of error exponents. The solutions presented are based on lattice codes, and are therefore close to practical implementations, with many advanced setups and techniques, such as shaping, entropy-coding, side-information and multi-terminal systems. Moreover, some of the network setups shown demonstrate how lattice codes are potentially more efficient than traditional random-coding solutions, for instance when generalising the framework to Gaussian networks"--
ISBN: 9780521766982US180.00
LCCN: 2014006008Subjects--Topical Terms:
532585
Coding theory.
LC Class. No.: TK5102.92 / .Z357 2014
Dewey Class. No.: 003/.54
Lattice coding for signals and networks : = a structured coding approach to quantization, modulation and multi-user information theory /
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Ram Zamir ; with contributions by Bobak Nazer and Yuval Kochman ; and with illustrations by Ilai Bistritz.
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Cambridge University Press,
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2014.
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xx, 437 p. :
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ill. ;
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26 cm.
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Includes bibliographical references (p. [408]-424) and index.
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Introduction --
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Lattices --
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Dithering and estimation --
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Entropy-coded quantization --
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Infinite constellation for modulation --
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Asymptotic goodness --
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Nested lattices --
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Gaussian networks with Bobak Nazer --
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Error exponents.
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"Unifying information theory and digital communication through the language of lattice codes, this book provides a detailed overview for students, researchers and industry practitioners. It covers classical work by leading researchers in the field of lattice codes and complementary work on dithered quantization and infinite constellations, and then introduces the more recent results on 'algebraic binning' for side-information problems, and linear/lattice codes for networks. It shows how high dimensional lattice codes can close the gap to the optimal information theoretic solution, including the characterisation of error exponents. The solutions presented are based on lattice codes, and are therefore close to practical implementations, with many advanced setups and techniques, such as shaping, entropy-coding, side-information and multi-terminal systems. Moreover, some of the network setups shown demonstrate how lattice codes are potentially more efficient than traditional random-coding solutions, for instance when generalising the framework to Gaussian networks"--
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Nazer, Bobak.
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Kochman, Yuval.
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Bistritz, Ilai.
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3208237
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壽豐校區(SF Campus)
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六樓西文書區HC-Z(6F Western Language Books)
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