Digital Signal Processing and Spectral Analysis for Scientists : Concepts and Applications
Softcover reprint of the original 1st ed. 2016
Book Details
Format
Paperback / Softback
Book Series
Signals and Communication Technology
ISBN-10
3319797956
ISBN-13
9783319797953
Edition
Softcover reprint of the original 1st ed. 2016
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
CH
Country of Publication
GB
Publication Date
Mar 29th, 2019
Print length
900 Pages
Product Classification:
EconometricsEconometrics and economic statisticsEconometrics and economic statisticsEconomic statisticsMathematical / Computational / Theoretical physicsMathematical physicsGeographical information systems (GIS) & remote sensingGeographical information systems, geodata and remote sensingElectronics engineeringDigital signal processing (DSP)Signal processing
Ksh 13,500.00
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This book covers the basics of processing and spectral analysis of monovariate discrete-time signals. Prior advanced mathematical skills are not needed in order to understand the contents: a good command of basic mathematical analysis is sufficient.
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.
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