Third Edition. — Elsevier Inc. 2006. — 424 pages
ISBN: 0120885816
Introduction to Applied Statistical Signal Analysis is designed for the experienced individual with a basic background in mathematics, science, and computer. With this predisposed knowledge, the reader will coast through the practical introduction and move on to signal analysis techniques, commonly used in a broad range of engineering areas such as biomedical engineering, communications, geophysics, and speech.
Introduction to Terminology
Empirical Modeling and Approximation
Fourier Analysis
Probability Concepts and Signal Characteristics
Random Processes and Signal Correlation
Random Signals, Linear Systems, and Power Spectra
Spectral Analysis for Random Signals
Random Signal Modeling and Modern Spectral Estimation
Theory and Application of Cross Correlation and Coherence