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. . . . . Books ship from the US and Ireland.

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Detalles bibliogr�ficos

T�tulo

Digital Spectral Analysis: Parametric, Non-Parametric and Advanced Methods

Editor

ISTE Ltd and John Wiley & Sons Inc

Fecha de publicaci�n

2011

Idioma

Ingl�s

ISBN 10

1848212771

ISBN 13

9781848212770

Encuadernaci�n

Encuadernaci�n de tapa dura

Estado

New

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Sinopsis

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.

Acerca del autor

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

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