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πŸ“

Digital Signal Processing and Spectral Analysis for Scientists: Concepts and Applications

✍ Scribed by Silvia Maria Alessio (auth.)


Publisher
Springer International Publishing
Year
2016
Tongue
English
Leaves
909
Series
Signals and Communication Technology
Edition
1
Category
Library

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✦ Synopsis


This book covers the basics of processing and spectral analysis of monovariate discrete-time signals. The approach is practical, the aim being to acquaint the reader with the indications for and drawbacks of the various methods and to highlight possible misuses. The book is rich in original ideas, visualized in new and illuminating ways, and is structured so that parts can be skipped without loss of continuity. Many examples are included, based on synthetic data and real measurements from the fields of physics, biology, medicine, macroeconomics etc., and a complete set of MATLAB exercises requiring no previous experience of programming is provided. Prior advanced mathematical skills are not needed in order to understand the contents: a good command of basic mathematical analysis is sufficient. Where more advanced mathematical tools are necessary, they are included in an Appendix and presented in an easy-to-follow way. With this book, digital signal processing leaves the domain of engineering to address the needs of scientists and scholars in traditionally less quantitative disciplines, now facing increasing amounts of data.

✦ Table of Contents


Front Matter....Pages i-xxiv
Introduction....Pages 1-19
Front Matter....Pages 21-21
Discrete-Time Signals and Systems....Pages 23-53
Transforms of Discrete-Time Signals....Pages 55-132
Sampling of Continuous-Time Signals....Pages 133-152
Spectral Analysis of Deterministic Discrete-Time Signals....Pages 153-182
Front Matter....Pages 183-183
Digital Filter Properties and Filtering Implementation....Pages 185-221
FIR Filter Design....Pages 223-262
IIR Filter Design....Pages 263-367
Front Matter....Pages 369-369
Statistical Approach to Signal Analysis....Pages 371-401
Non-Parametric Spectral Methods....Pages 403-464
Parametric Spectral Methods....Pages 465-535
Singular Spectrum Analysis (SSA)....Pages 537-571
Non-stationary Spectral Analysis....Pages 573-642
Front Matter....Pages 643-643
Discrete Wavelet Transform (DWT)....Pages 645-714
De-noising and Compression by Wavelets....Pages 715-742
Front Matter....Pages 743-743
Exercises with Matlab....Pages 745-887
Back Matter....Pages 889-900

✦ Subjects


Signal, Image and Speech Processing; Numerical and Computational Physics; Remote Sensing/Photogrammetry; Econometrics


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