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Digital Signal Processing And Spectral Analysis For Scientists Concepts And Applications 1st Edition Silvia Maria Alessio Auth

  • SKU: BELL-5354790
Digital Signal Processing And Spectral Analysis For Scientists Concepts And Applications 1st Edition Silvia Maria Alessio Auth
$ 31.00 $ 45.00 (-31%)

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Digital Signal Processing And Spectral Analysis For Scientists Concepts And Applications 1st Edition Silvia Maria Alessio Auth instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 59.31 MB
Pages: 909
Author: Silvia Maria Alessio (auth.)
ISBN: 9783319254661, 9783319254685, 3319254669, 3319254685
Language: English
Year: 2016
Edition: 1

Product desciption

Digital Signal Processing And Spectral Analysis For Scientists Concepts And Applications 1st Edition Silvia Maria Alessio Auth by Silvia Maria Alessio (auth.) 9783319254661, 9783319254685, 3319254669, 3319254685 instant download after payment.

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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