Filtering theory Ali Saberi

By:

Saberi, Ali

Contributor(s):

Publication details: Boston: Birkh䵳er Boston, 2006.Description: 723pISBN:

081764301X
9780817643010

Subject(s):

DDC classification:

621.382 SAF

Summary: Filtering theory is central to a wide variety of disciplines, including control, communications, and signal processing. This monograph treats linear filtering and inverse filtering in a general setting, presenting a state-of-the art view of H_2, H_8 and a variety of mixed H_2 and H_8 filtering issues. Applications are also treated. Key strengths of the book: - Develops a general theory of H_2 filtering, H_2 delayed filtering, and H_2 inverse filtering or H_2 deconvolution in a broad framework with a complete analysis, as well as synthesis aspects of filter design - Thorough examination of several hierarchically ordered layers of noise decoupled filtering problems, delayed filtering problems, and deconvolution problems under a single umbrella - Illustrates the application of filtering theory to fault detection, isolation, and estimation - Numerous examples with MATLAB, comprehensive bibliography, and index - Open problems The book will serve as an advanced graduate text for a course in filtering in applied mathematics or electrical engineering departments. It will also be an invaluable resource for practicing engineers in industry.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Books	Central Library Allama Iqbal Open University Islamabad General Stacks	621.382 SAF (Browse shelf(Opens below))	Available		112751

Filtering theory is central to a wide variety of disciplines, including control, communications, and signal processing. This monograph treats linear filtering and inverse filtering in a general setting, presenting a state-of-the art view of H_2, H_8 and a variety of mixed H_2 and H_8 filtering issues. Applications are also treated. Key strengths of the book: - Develops a general theory of H_2 filtering, H_2 delayed filtering, and H_2 inverse filtering or H_2 deconvolution in a broad framework with a complete analysis, as well as synthesis aspects of filter design - Thorough examination of several hierarchically ordered layers of noise decoupled filtering problems, delayed filtering problems, and deconvolution problems under a single umbrella - Illustrates the application of filtering theory to fault detection, isolation, and estimation - Numerous examples with MATLAB, comprehensive bibliography, and index - Open problems The book will serve as an advanced graduate text for a course in filtering in applied mathematics or electrical engineering departments. It will also be an invaluable resource for practicing engineers in industry.

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