Table of contents for Statistical and adaptive signal processing : spectral estimation, signal modeling, adaptive filtering, and array processing / Dimitris G. Manolakis, Vinay K. Ingle, Stephen M. Kogon.

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 Chapter 1 - Introduction
 Chapter 2 - Fundamentals of Discrete-Time Signal Processing
 Chapter 3 - Random Variables, Vectors, and Sequences
 Chapter 4 - Linear Signal Models
 Chapter 5 - Nonparametric Power Spectrum Estimation
 Chapter 6 - Optimum Linear Filters
 Chapter 7 - Algorithms and Structure for Optimum Linear Filters
 Chapter 8 - Least-Squares Filtering and Prediction
 Chapter 9 - Signal Modeling and Parametric Spectral Estimation
 Chapter 10 - Adaptive Filters
 Chapter 11 - Array Processing
 Chapter 12 - Further Topics
 Appendix A - Matrix Inversion Lemma
 Appendix B - Gradients and Optimization in Complex Space 
 Appendix C - MATLAB Functions
 Appendix D - Useful Results from Matrix Algebra
 Appendix E - Minimum Phase Test for Polynomials