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

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, v...

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Detaylı Bibliyografya
Yazar: Alessio, Silvia Maria (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edisyon:1st ed. 2016.
Seri Bilgileri:Signals and Communication Technology,
Konular:
Signal processing.
Mathematical physics.
Geographic information systems.
Econometrics.
Signal, Speech and Image Processing.
Theoretical, Mathematical and Computational Physics.
Geographical Information System.
Online Erişim:Full-text access
OPAC'ta görüntüle
Diğer Bilgiler
Özet: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.
Fiziksel Özellikler:XXIV, 900 p. 352 illus. in color. online resource.
ISBN:9783319254685
ISSN:1860-4870
DOI:10.1007/978-3-319-25468-5

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