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Non-Binary Error Control Coding for Wireless Communication and Data Storage
By: Rolando Antonio Carrasco , Martin JohnstoneBook Publisher: John Wiley & Sons
Imprint: Wiley
Format: Adobe Encrypted (DRM)
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Comprehensive introduction to non-binary error-correction coding techniques
Non-Binary Error Control Coding for Wireless Communication and Data Storage explores non-binary coding schemes that have been developed to provide an alternative to the Reed – Solomon codes, which are expected to become unsuitable for use in future data storage and communication devices as the demand for higher data rates increases. This book will look at the other significant non-binary coding schemes, including non-binary block and ring trellis-coded modulation (TCM) codes that perform well in fading conditions without any expansion in bandwidth use, and algebraic-geometric codes which are an extension of Reed-Solomon codes but with better parameters.
Key Features:
Comprehensive and self-contained reference to non-binary error control coding starting from binary codes and progressing up to the latest non-binary codes
Explains the design and construction of good non-binary codes with descriptions of efficient non-binary decoding algorithms with applications for wireless communication and high-density data storage
Discusses the application to specific cellular and wireless channels, and also magnetic storage channels that model the reading of data from the magnetic disc of a hard drive.
Includes detailed worked examples for each coding scheme to supplement the concepts described in this book
Focuses on the encoding, decoding and performance of both block and convolutional non-binary codes, and covers the Kötter-Vardy algorithm and Non-binary LDPC codes
This book will be an excellent reference for researchers in the wireless communication and data storage communities, as well as development/research engineers in telecoms and storage companies. Postgraduate students in these fields will also find this book of interest.
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| Title of Technology eBook: Non-Binary Error Control Coding for Wireless Communication and Data Storage | |
| Release Date: 11-20-2008 | |
| Publisher: Wiley |
This eBook download is available in the following formats:
| Parent title | Non-Binary Error Control Coding for... |
|---|---|
| Encrypted (DRM) | Yes |
| SKU | 9780470740408 |
| File size | 4848 |
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| Note | Excellent navigation features are available via Adobe such as bookmarks and a quick access table of contents. Text search is easily accessible. An Adobe DRM-protected file is different than a pdf file in that it uses Adobe DRM (Digital Rights Management) technology, which authors and publishers use to protect their content from illegal online distribution and to set certain privileges such as restrictions on copying and printing. |
Non-Binary Error Control Coding for Wireless Communication and Data Storage
Chapter One
Information, Channel Capacity and Channel Modelling
1.1 Introduction
In this chapter, an introduction to the fundamental aspects of information theory is given, with particular attention given to the derivation of the capacity of different channel models. This is followed by an explanation of the physical properties of fading channels and descriptions of different channel models for fixed wireless access, universal mobile telecommunication systems (UMTS) for single-input-single-output (SISO) and multiple-input-multiple-output (MIMO), and finally magnetic recording channels. Therefore, this chapter presents the prerequisites for evaluating many binary and non-binary coding schemes on various channel models.
The purpose of a communication system is, in the broadest sense, the transmission of information from one point in space and time to another. We shall briefly explore the basic ideas of what information is and how it can be measured, and how these ideas relate to bandwidth, capacity, signal-to-noise ratio, bit error rate and so on.
First, we address three basic questions that arise from the analysis and design of communication systems:
Given an information source, how do we determine the 'rate' at which the source is transmitting information?
For a noisy communication channel, how do we determine the maximum 'rate' at which 'reliable' information transmission can take place over the channel?
How will we develop statistical models that adequately represent the basic properties of communication channels?
For modelling purposes we will divide communication channels in
...
