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Introduction to Applied Statistical Signal Analysis
Guide to Biomedical and Electrical Engineering Applications
Essential statistical tool for engineering students
Richard Shiavi (Author)
9780120885817
Hardback, published 5 January 2007
424 pages, Approx. 180 illustrations
23.4 x 19 x 2.7 cm, 1.03 kg
Introduction to Applied Statistical Signal Analysis, Third Edition, 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. Topics presented include mathematical bases, requirements for estimation, and detailed quantitative examples for implementing techniques for classical signal analysis. This book includes over one hundred worked problems and real world applications. Many of the examples and exercises use measured signals, most of which are from the biomedical domain. The presentation style is designed for the upper level undergraduate or graduate student who needs a theoretical introduction to the basic principles of statistical modeling and the knowledge to implement them practically.
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
Subject Areas: Signal processing [UYS], Mechanical engineering [TGB]
