Description
Book SynopsisThe most thorough, up-to-date reference on channel equalizationfrom basic concepts to complex modeling techniques In today''s instant-access society, a high premium is placed on information that can be stored and communicated effectively. As a result, storage densities and communications rates are being pushed to capacity, causing information symbols to interfere with one another. To help unclog pathways for the clearer conveyance of information, this book offers in-depth discussion of the significant contributions and future adaptability of channel equalization and a set of approaches for solving the problem of intersymbol interference (ISI). Chapter explorations in Channel Equalization include:
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Channel equalization topics presented with incremental learning methodologyfrom the very fundamental concept to more advanced mathematical knowledge
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Coverage of technology used in second-, third- and fourth-generation cellular communication
Table of Contents
1 Introduction 1
2 Matched Filtering 31
3 Zero-Forcing Decision Feedback Equalization 57
4 Linear Equalization 69
5 MMSE and ML Decision Feedback Equalization 99
6 Maximum Likelihood Sequence Detection 115
7 Advanced Topics 151
8 Practical Considerations 173
