Pseudo Random Signal Processing: Theory and Application

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 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.