Digital Spectral Analysis

Parametric, Non-Parametric and Advanced Methods

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Digital Spectral Analysis by , Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781118601839
Publisher: Wiley Publication: February 4, 2013
Imprint: Wiley-ISTE Language: English
Author:
ISBN: 9781118601839
Publisher: Wiley
Publication: February 4, 2013
Imprint: Wiley-ISTE
Language: English

Digital Spectral Analysis provides a single source that offers complete coverage of the spectral analysis domain. This self-contained work includes details on advanced topics that are usually presented in scattered sources throughout the literature.
The theoretical principles necessary for the understanding of spectral analysis are discussed in the first four chapters: fundamentals, digital signal processing, estimation in spectral analysis, and time-series models.
An entire chapter is devoted to the non-parametric methods most widely used in industry.
High resolution methods are detailed in a further four chapters: spectral analysis by stationary time series modeling, minimum variance, and subspace-based estimators.
Finally, advanced concepts are the core of the last four chapters: spectral analysis of non-stationary random signals, space time adaptive processing: irregularly sampled data processing, particle filtering and tracking of varying sinusoids.
Suitable for students, engineers working in industry, and academics at any level, this book provides a rare complete overview of the spectral analysis domain.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Digital Spectral Analysis provides a single source that offers complete coverage of the spectral analysis domain. This self-contained work includes details on advanced topics that are usually presented in scattered sources throughout the literature.
The theoretical principles necessary for the understanding of spectral analysis are discussed in the first four chapters: fundamentals, digital signal processing, estimation in spectral analysis, and time-series models.
An entire chapter is devoted to the non-parametric methods most widely used in industry.
High resolution methods are detailed in a further four chapters: spectral analysis by stationary time series modeling, minimum variance, and subspace-based estimators.
Finally, advanced concepts are the core of the last four chapters: spectral analysis of non-stationary random signals, space time adaptive processing: irregularly sampled data processing, particle filtering and tracking of varying sinusoids.
Suitable for students, engineers working in industry, and academics at any level, this book provides a rare complete overview of the spectral analysis domain.

More books from Wiley

Cover of the book Handbook of Psychology, Behavioral Neuroscience by
Cover of the book Windows Command Line Administration Instant Reference by
Cover of the book Donor-Centered Planned Gift Marketing by
Cover of the book Twitter Power 3.0 by
Cover of the book The Encyclopedia of Psychological Trauma by
Cover of the book Quantitative Value by
Cover of the book Basin Analysis by
Cover of the book Materials by
Cover of the book Mechanics of Aeronautical Composite Materials by
Cover of the book Nexus 7 For Dummies (Google Tablet) by
Cover of the book Foundations of Voice Studies by
Cover of the book The Book of Happiness by
Cover of the book Fundamentals of Ornamental Fish Health by
Cover of the book The Portable MBA by
Cover of the book Nanophysics and Nanotechnology by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy