PSEUDO RANDOM SIGNAL PROCESSING - THEORY AND APPLICATION

Taking a practical approach to the topic, this text provides a comprehensive and systematic guide to understanding and using pseudo random signals. Covering theoretical principles, design methodologies and applications, Pseudo Random Signal Processing: Theory and Application:

• sets out the mathematical foundations needed to implement powerful pseudo random signal processing techniques;
• presents information about binary and nonbinary pseudo random sequence generation and design objectives;
• examines the creation of system architectures, including those with microprocessors, digital signal processors, memory circuits and software suits;
• gives a detailed discussion of sophisticated applications such as spread spectrum communications, ranging and satellite navigation systems, scrambling, system verification, and sensor and optical fibre systems.

Pseudo Random Signal Processing: Theory and Applicationis an essential introduction to the subject for practising Electronics Engineers and researchers in the fields of mobile communications, satellite navigation, signal analysis, circuit testing, cryptology, watermarking, and measurement. It is also a useful reference for graduate students taking courses in Electronics, Communications and Computer Engineering.

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 and memory 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.