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![]( "Buchcover ISBN 9781118601761")
Digital Spectral Analysis
Parametric, Non-Parametric and Advanced Methods
herausgegeben von Francis CastaniéDigital Spectral Analysis provides a single source thatoffers complete coverage of the spectral analysis domain. Thisself-contained work includes details on advanced topics that areusually presented in scattered sources throughout theliterature.
The theoretical principles necessary for the understanding ofspectral analysis are discussed in the first four chapters: fundamentals, digital signal processing, estimation in spectralanalysis, and time-series models.
An entire chapter is devoted to the non-parametric methods mostwidely used in industry.
High resolution methods are detailed in a further four chapters: spectral analysis by stationary time series modeling, minimumvariance, and subspace-based estimators.
Finally, advanced concepts are the core of the last four chapters: spectral analysis of non-stationary random signals, space timeadaptive processing: irregularly sampled data processing, particlefiltering and tracking of varying sinusoids.
Suitable for students, engineers working in industry, and academicsat any level, this book provides a rare complete overview of thespectral analysis domain.
The theoretical principles necessary for the understanding ofspectral analysis are discussed in the first four chapters: fundamentals, digital signal processing, estimation in spectralanalysis, and time-series models.
An entire chapter is devoted to the non-parametric methods mostwidely used in industry.
High resolution methods are detailed in a further four chapters: spectral analysis by stationary time series modeling, minimumvariance, and subspace-based estimators.
Finally, advanced concepts are the core of the last four chapters: spectral analysis of non-stationary random signals, space timeadaptive processing: irregularly sampled data processing, particlefiltering and tracking of varying sinusoids.
Suitable for students, engineers working in industry, and academicsat any level, this book provides a rare complete overview of thespectral analysis domain.
