In the previous chapters we have examined several methods to transmit digital signals through a channel without wondering how much information can be effectively carried by the channel, and how it can be robustly encoded into the signal for reliable transmission. In this chapter, based upon the fundamentals of Information Theory introduced in Chapter 3, we introduce the concept of channel capacity, and some techniques of channel coding
We obtain the Shannon capacity of a fading channel with channel side information at the transmitter ...
Abstract-We consider three capacity definitions for general channels with channel side information a...
2011 Fall.Includes bibliographical references.Channel coding helps a communication system to combat ...
This group continues its investigations of sources that generate information, channels that transmit...
The chapter starts with a brief introduction of some basic concepts of information theory, introduci...
A general capacity formula C = sup X I(X; Y), which is correct for arbitrary single-user channels wi...
6.441 offers an introduction to the quantitative theory of information and its applications to relia...
This book deals with the subject of channel coding and forward error correction techniques, providin...
In an accessible and practical style, Information and Communication Theory explores the topic of inf...
SCOPE AND CONTENTS: Wolfowitz's strong converse of the coding theorem holds for a discrete info...
The reliable transmission of information bearing signals over a noisy communication channel is at th...
Next-generation wireless communication systems will have to deal with an unprecedented number of com...
Determining the achievable rates at which information can be reliably transmitted across noisy chann...
In this chapter we describe how information produced by a source, either analog or digital, can be e...
Bandwidth Efficient Coding addresses the major challenge in communication engineering today: how to ...
We obtain the Shannon capacity of a fading channel with channel side information at the transmitter ...
Abstract-We consider three capacity definitions for general channels with channel side information a...
2011 Fall.Includes bibliographical references.Channel coding helps a communication system to combat ...
This group continues its investigations of sources that generate information, channels that transmit...
The chapter starts with a brief introduction of some basic concepts of information theory, introduci...
A general capacity formula C = sup X I(X; Y), which is correct for arbitrary single-user channels wi...
6.441 offers an introduction to the quantitative theory of information and its applications to relia...
This book deals with the subject of channel coding and forward error correction techniques, providin...
In an accessible and practical style, Information and Communication Theory explores the topic of inf...
SCOPE AND CONTENTS: Wolfowitz's strong converse of the coding theorem holds for a discrete info...
The reliable transmission of information bearing signals over a noisy communication channel is at th...
Next-generation wireless communication systems will have to deal with an unprecedented number of com...
Determining the achievable rates at which information can be reliably transmitted across noisy chann...
In this chapter we describe how information produced by a source, either analog or digital, can be e...
Bandwidth Efficient Coding addresses the major challenge in communication engineering today: how to ...
We obtain the Shannon capacity of a fading channel with channel side information at the transmitter ...
Abstract-We consider three capacity definitions for general channels with channel side information a...
2011 Fall.Includes bibliographical references.Channel coding helps a communication system to combat ...
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