Central Library

Normal view MARC view ISBD view

Digital Signal Processing and Spectral Analysis for Scientists [electronic resource] : Concepts and Applications / by Silvia Maria Alessio.

By: Alessio, Silvia Maria [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Signals and Communication Technology: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XXIV, 900 p. 352 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319254685.Subject(s): Engineering | Remote sensing | Econometrics | Engineering | Signal, Image and Speech Processing | Numerical and Computational Physics, Simulation | Remote Sensing/Photogrammetry | EconometricsAdditional physical formats: Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
Introduction -- Discrete-time Signals and Systems -- Transforms of Discrete-time Signals -- Sampling of Continuous-time Signals -- Spectral Analysis of Deterministic Discrete-Time Signals -- Digital Filter Properties and Filtering Implementation -- FIR Filters Design -- IIR Filters Design -- Statistical Approach to Signal Analysis -- Non-Parametric Spectral Methods -- Parametric Spectral Methods.- Singular Spectrum Analysis (SSA).- Non-Stationary Spectral Analysis.- Discrete Wavelet Transform (DWT) -- De-noising and Compression byWavelets -- Exercises with Matlab.
In: Springer eBooksSummary: 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.
    average rating: 0.0 (0 votes)
No physical items for this record

Introduction -- Discrete-time Signals and Systems -- Transforms of Discrete-time Signals -- Sampling of Continuous-time Signals -- Spectral Analysis of Deterministic Discrete-Time Signals -- Digital Filter Properties and Filtering Implementation -- FIR Filters Design -- IIR Filters Design -- Statistical Approach to Signal Analysis -- Non-Parametric Spectral Methods -- Parametric Spectral Methods.- Singular Spectrum Analysis (SSA).- Non-Stationary Spectral Analysis.- Discrete Wavelet Transform (DWT) -- De-noising and Compression byWavelets -- Exercises with Matlab.

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.

There are no comments for this item.

Log in to your account to post a comment.