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| INTRODUCTION TO APPLIED STATISTICAL SIGNAL ANALYSIS
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Guide to Biomedical and Electrical Engineering Applications
To order this title, and for more information, click here
Third Edition
By
Richard Shiavi, Vanderbilt University, Nashville, Tennessee, U.S.A.
Description
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 Applied Statistical Signal Analysis intertwines theory and implementation with practical examples and exercises.
Topics presented in detail include: mathematical bases, requirements for estimation and detailed quantitative examples for implementing
techniques for classical signal analysis. This book will help readers understand real-world applications of signal analysis as they relate
to biomedical engineering.
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.
Audience
students; biomedical engineers; electrical engineers; technicians; researchers;
Contents
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
| Bibliographic details |
Hardbound, 424 pages, publication date: DEC-2006
ISBN-13: 978-0-12-088581-7
ISBN-10: 0-12-088581-6
Imprint: ACADEMIC PRESS
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| Price and Ordering |
Price:
USD 98.95
GBP 59.99
EUR 70.95
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Last update: 5 Sep 2009
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