Zepernick / Finger Pseudo Random Signal Processing

Theory and Application
1. Auflage 2013
ISBN: 978-0-470-86658-0
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 436 Seiten, E-Book

In recent years, pseudo random signal processing has proven to be acritical enabler of modern communication, information, security andmeasurement systems. The signal's pseudo random, noise-likeproperties make it vitally important as a tool for protectingagainst interference, alleviating multipath propagation andallowing the potential of sharing bandwidth with other users.
Taking a practical approach to the topic, this text provides acomprehensive and systematic guide to understanding and usingpseudo random signals. Covering theoretical principles, designmethodologies and applications, Pseudo Random Signal Processing:Theory and Application:
* sets out the mathematical foundations needed to implementpowerful pseudo random signal processing techniques;
* presents information about binary and nonbinary pseudo randomsequence generation and design objectives;
* examines the creation of system architectures, including thosewith microprocessors, digital signal processors, memory circuitsand software suits;
* gives a detailed discussion of sophisticated applications suchas spread spectrum communications, ranging and satellite navigationsystems, scrambling, system verification, and sensor and opticalfibre systems.
Pseudo Random Signal Processing: Theory and Applicationisan essential introduction to the subject for practising ElectronicsEngineers and researchers in the fields of mobile communications,satellite navigation, signal analysis, circuit testing, cryptology,watermarking, and measurement. It is also a useful reference forgraduate students taking courses in Electronics, Communications andComputer Engineering.

Autoren/Hrsg.

Zepernick, Hans-Jurgen

Finger, Adolf

Inhaltsverzeichnis

Preface.
List of abbreviations.
List of common symbols.
1. Introduction.
1.1 Prologue.
1.2 Elements of pseudo random signal processing.
1.3 Outline of the book.
2. Characterization of signals and sequences.
2.1 Classification of signals and sequences.
2.2 Transformations of signals and sequences.
2.3 Correlation measures.
2.4 Power spectral density.
2.5 Pseudo random signals and sequences.
3. Mathematical foundations.
3.1 Algebraic structures.
3.2 Polynomials over finite fields.
4. Binary pseudo random sequences.
4.1 Classification.
4.2 Maximal-length sequences.
4.3 Binary sequences with good autocorrelation.
4.4 Binary sequences with special cross-correlation.
5. Nonbinary pseudo random sequences.
5.1 Classification.
5.2 Interference-free window sequences.
5.3 Complex-valued sequences.
5.4 Polyphase sequences with special correlations.
6. Generating pseudo random signals.
6.1 Linear autonomous automata.
6.2 Generating maximal-length sequences.
6.3 Transformations of maximal-length sequences.
6.4 Combinations of maximal-length sequences.
6.5 Pseudo random signal processing with microprocessors andmemory circuits.
7. Applications of pseudo random signal processing.
7.1 Spread spectrum communications.
7.2 Ranging and navigation systems.
7.3 Scrambling.
7.4 Automatic testing and system verification.
7.5 Cryptology.
7.6 Other applications.
Bibliography.
Index.