Pseudo Random Signal Processing
Theory and Application
Covering theoretical principles, design methodologies and applications, this book sets out the mathematical foundations needed to implement powerful pseudo random signal proce
List of abbreviations.
List of common symbols.
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.
4.2 Maximal length sequences.
4.3 Binary sequences with good autocorrelation.
4.4 Binary sequences with special cross correlation.
5. Nonbinary pseudo random sequences.
5.2 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.
7.4 Automatic testing and system verification.
7.6 Other applications.