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Title
Digital signal processing and spectral analysis for scientists [electronic resource] : concepts and applications / Silvia Maria Alessio.
ISBN
9783319254685 (electronic book)
3319254685 (electronic book)
9783319254661
3319254669
Published
Cham : Springer, [2015].
Copyright
©2016
Language
English
Description
1 online resource (xxiv, 900 pages) : color illustrations.
Item Number
10.1007/978-3-319-25468-5 doi
Call Number
TK5102.9
Dewey Decimal Classification
621.382/2
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 21, 2015).
Series
Signals and communication technology.
Available in Other Form
Print version: 9783319254661
Introduction
Discrete-time Signals and Systems
Transforms of Discrete-time Signals
Sampling of Continuous-time Signals
Spectral Analysis of Deterministic Discrete-Time Signals
Digital Filter Properties and Filtering Implementation
FIR Filters Design
IIR Filters Design
Statistical Approach to Signal Analysis
Non-Parametric Spectral Methods
Parametric Spectral Methods.- Singular Spectrum Analysis (SSA).- Non-Stationary Spectral Analysis.- Discrete Wavelet Transform (DWT)
De-noising and Compression byWavelets
Exercises with Matlab. .
