Digital Spectral Analysis

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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…

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    Om Digital Spectral Analysis

    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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    Detaljer

    Format
    E-Bok
    Kopisperre
    Teknisk DRM
    Filformat
    ePUB
    Utgivelsesår
    2013
    Forlag
    Wiley
    Språk
    Engelsk
    ISBN
    9781118601839
    Sider
    400

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