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Digital Spectral Analysis. Parametric, Non-Parametric and Advanced Met…
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작성자 Jed 댓글 0건 조회 13회 작성일 23-11-17 09:44본문
Представляем для скачивания и чтения книгу Digital Spectral Analysis. Parametric, Non-Parametric and Advanced Methods от известного автора Francis Castanié.
Произведение -го года.
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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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![31226961.jpg](https://cv6.litres.ru/pub/c/cover_415/31226961.jpg)
Should you beloved this article and also you wish to receive more information relating to Wmlogs i implore you to pay a visit to the internet site.
Произведение -го года.
Скачать книгу »
Читать онлайн »
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.
Скачать книгу »
Читать онлайн »
![31226961.jpg](https://cv6.litres.ru/pub/c/cover_415/31226961.jpg)
Should you beloved this article and also you wish to receive more information relating to Wmlogs i implore you to pay a visit to the internet site.
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