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Introduction to digital communication systems
Terdapat bibliografi dan indeks.
CONTENTS:
1. Elements of Information Theory.
1.1 Introduction.
1.2 Basic Concepts.
1.3 Communication System Model.
1.4 Concept of Information and Measure of Amount of Information.
1.5 Message Sources and Source Coding.
1.6 Discrete Source Coding.
1.7 Channel Models from the Information Theory Point of View.
1.8 Mutual Information.
1.9 Properties of Mutual Information.
1.10 Channel Capacity.
1.11 Decision Process and its Rules.
1.12 Differential Entropy and Average Amount of Information for Continuous Variables.
1.13 Capacity of Band-Limited Channel with Additive White Gaussian Noise.
1.14 Implication of AWGN Channel Capacity for Digital Transmission.
1.15 Capacity of a Gaussian Channel with a Given Channel Characteristic.
1.16 Capacity of a Flat Fading Channel.
1.17 Capacity of a Multiple-Input Multiple-Output Channel.
2 Channel Coding.
2.1 Idea of Channel Coding.
2.2 Classification of Codes.
2.3 Hard- and Soft-Decision Decoding.
2.4 Coding Gain.
2.5 Block Codes.
2.6 Nonalgebraic Decoding for Block Codes.
2.7 Algebraic Decoding Methods for Cyclic Codes.
2.8 Convolutional Codes and Their Description.
2.9 Convolutional Code Decoding.
2.10 Concatenated Coding.
2.11 Case Studies: Two Examples of Concatenated Coding.
2.12 Turbo Codes.
2.13 LDPC Codes.
2.14 Error Detection Structures and Algorithms.
2.15 Application of Error Detection
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