Coding for Wireless Channels / Edition 1

Coding for Wireless Channels / Edition 1

by Ezio Biglieri
ISBN-10:
1441954716
ISBN-13:
9781441954718
Pub. Date:
12/08/2010
Publisher:
Springer US
ISBN-10:
1441954716
ISBN-13:
9781441954718
Pub. Date:
12/08/2010
Publisher:
Springer US
Coding for Wireless Channels / Edition 1

Coding for Wireless Channels / Edition 1

by Ezio Biglieri
$54.99
Current price is , Original price is $54.99. You
$54.99 
  • SHIP THIS ITEM
    In stock. Ships in 1-2 days.
  • PICK UP IN STORE

    Your local store may have stock of this item.


Overview

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.


Product Details

ISBN-13: 9781441954718
Publisher: Springer US
Publication date: 12/08/2010
Series: Information Technology: Transmission, Processing and Storage
Edition description: Softcover reprint of hardcover 1st ed. 2005
Pages: 428
Product dimensions: 7.01(w) x 10.00(h) x 0.39(d)

Table of Contents

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.
From the B&N Reads Blog

Customer Reviews