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. Num Pages: 400 pages, Illustrations. BIC Classification: PBT; TJK. Category: (G) General (US: Trade). Dimension: 235 x 170 x 27. Weight in Grams: 718. . 2011. 1st Edition. Hardcover. . . . .

Bestandsnummer des Verk�ufers V9781848212770

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Bibliografische Details

Titel: Digital Spectral Analysis: Parametric, Non-Parametric and Advanced Methods
Verlag: ISTE Ltd and John Wiley & Sons Inc
Erscheinungsjahr: 2011
Sprache: Englisch
ISBN-10: 1848212771
ISBN-13: 9781848212770
Einband: Hardcover
Auflage: 1. Auflage
Zustand: New

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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.

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Francis Castani� is an emeritus professor of INPT and Laboratory Director of TeSA in Toulouse, France.

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