Focuses on the basic principles underlying code design
Unifies topics of coding theory and wireless communications
Coverage of space-time codes and multiple-antenna systems
Accessible introduction to the theoretical foundations of modern coding theory
Including numerous applications to wireless transmission systems
The author is famous in the field of coding and wireless communications for his work in the area of faded channels & communcations.
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Coding for Wireless Channels is an accessible introduction to the theoretical foundations of modern coding theory, with applications to wireless transmission systems. State-of-the-art coding theory is explained using soft (maximum-likelihood) decoding rather than algebraic decoding. Convolutional codes, trellis-coded modulation, turbo codes, and low-density parity-check (LDPC) codes are also covered, with specific reference to the graphical structures through which they can be described and decoded (trellises and factor graphs). A special section is devoted to multiple-antenna systems and space-time codes. The author assumes that the reader has a firm grasp of the concepts usually presented in senior-level courses on digital communications, information theory, and random processes.
Coding for Wireless Channels will serve as an advanced text for undergraduate and graduate level courses and as a reference for professionals in telecommunications.
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Coding for Wireless Channels is designed for telecommunications professionals and advanced undergraduate and graduate-level students. The book provides an accessible introduction to the theoretical foundations of modern coding theory, with many applications to wireless transmission systems. State-of-the-art coding theory is explained based on soft (maximum-likelihood) decoding rather than on algebraic decoding. Convolutional codes, trellis-coded modulation, turbo codes, and low-density parity-check (LDPC) codes are covered, with specific reference to the graphical structures through which they can be described and decoded (trellises and factor graphs). A special section addresses multiple-antenna systems and space-time codes.
Tour d´horizon.- Channel models for digital transmission.- Coding in a signal space.- Fading channels.- Trellis representation of codes.- Coding on a trellis: Convolutional codes.- Trellis-coded modulation.- Codes on graphs.- LDPC and turbo codes.- Multiple antennas.- Facts from information theory.- Facts from matrix theory.- Random variables, vectors, and matrices.- Computation of error probabilities.
Coding for Wireless Channels is an accessible introduction to the theoretical foundations of modern coding theory, with applications to wireless transmission systems. State-of-the-art coding theory is explained using soft (maximum-likelihood) decoding rather than algebraic decoding. Convolutional codes, trellis-coded modulation, turbo codes, and low-density parity-check (LDPC) codes are also covered, with specific reference to the graphical structures through which they can be described and decoded (trellises and factor graphs). A special section is devoted to multiple-antenna systems and space-time codes. The author assumes that the reader has a firm grasp of the concepts usually presented in senior-level courses on digital communications, information theory, and random processes.
Coding for Wireless Channels will serve as an advanced text for undergraduate and graduate level courses & as a reference for professionals in telecommunications.
Tour d'horizon.- Channel models for digital transmission.- Coding in a signal space.- Fading channels.- Trellis representation of codes.- Coding on a trellis: Convolutional codes.- Trellis-coded modulation.- Codes on graphs.- LDPC and turbo codes.- Multiple antennas.- Facts from information theory.- Facts from matrix theory.- Random variables, vectors, and matrices.- Computation of error probabilities.
Inhaltsverzeichnis
Tour d'horizon.- Channel models for digital transmission.- Coding in a signal space.- Fading channels.- Trellis representation of codes.- Coding on a trellis: Convolutional codes.- Trellis-coded modulation.- Codes on graphs.- LDPC and turbo codes.- Multiple antennas.- Facts from information theory.- Facts from matrix theory.- Random variables, vectors, and matrices.- Computation of error probabilities.
Klappentext
Accessible introduction to the theoretical foundations of modern coding theory
Including numerous applications to wireless transmission systems
The author is famous in the field of coding and wireless communications for his work in the area of faded channels & communcations.
Coding for Wireless Channels is designed for telecommunications professionals and advanced undergraduate and graduate-level students. The book provides an accessible introduction to the theoretical foundations of modern coding theory, with many applications to wireless transmission systems. State-of-the-art coding theory is explained based on soft (maximum-likelihood) decoding rather than on algebraic decoding. Convolutional codes, trellis-coded modulation, turbo codes, and low-density parity-check (LDPC) codes are covered, with specific reference to the graphical structures through which they can be described and decoded (trellises and factor graphs). A special section addresses multiple-antenna systems and space-time codes.
