Digital Spectral Analysis

Parametric, Non-Parametric and Advanced Methods

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Éditeur :

Wiley-ISTE


Paru le : 2013-02-04



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Description

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.
Pages
400 pages
Collection
n.c
Parution
2013-02-04
Marque
Wiley-ISTE
EAN papier
9781848212770
EAN PDF
9781118601761

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
400
Taille du fichier
4321 Ko
Prix
169,80 €
EAN EPUB
9781118601839

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
400
Taille du fichier
6246 Ko
Prix
169,80 €

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