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

Libro 94 di 175: Signals and Communication Technology

Alessio, Silvia Maria

 
9783319797953: Digital Signal Processing and Spectral Analysis for Scientists: Concepts and Applications
Brossura
ISBN 10: 3319797956 ISBN 13: 9783319797953
Casa editrice: Springer Nature, 2019

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

Silvia Maria Alessio is Assistant Professor of Digital Signal Processing and Physics of the Atmosphere at University of Torino, Italy. Her research focuses mainly on geophysics, more precisely the physics of atmosphere and of environmental, climatic and paleo-climatic problems.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer Nature
Data di pubblicazione
2019
Lingua
Inglese
ISBN 10 
3319797956
ISBN 13 
9783319797953
Rilegatura
Copertina flessibile
Numero di pagine
924
Contatto del produttore
ProductSafety@springernature.com
ProductSafety@springernature.com

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Altre edizioni note dello stesso titolo

9783319254661: Digital Signal Processing and Spectral Analysis for Scientists: Concepts and Applications

Edizione in evidenza

ISBN 10:  3319254669 ISBN 13:  9783319254661
Casa editrice: Springer Verlag, 2015
Rilegato