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

Silvia Maria Alessio

ISBN 10: 3319797956 / ISBN 13: 9783319797953

Published by Springer International Publishing, Springer International Publishing, 2019

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783319797953

Bibliographic Details

• Title: Digital Signal Processing and Spectral Analysis for Scientists : Concepts and Applications
• Publisher: Springer International Publishing, Springer International Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 3319797956
• ISBN 13: 9783319797953
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 50D millimeters 235 millimeters width by 155 millimeters height by 50 millimeters depth
• Weight: 1369 grams

About this title

Synopsis

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.

About the Author

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.