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Bayesian signal processing : classical, modern, and particle filtering methods /

New Bayesian approach helps you solve tough problems in signal processing with ease. Signal processing is based on this fundamental conceptthe extraction of critical information from noisy, uncertain data. Most techniques rely on underlying Gaussian assumptions for a solution, but what happens when...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Candy, James V.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, N.J. : Wiley : IEEE, [2009]
Colección:Adaptive and learning systems for signal processing, communications, and control.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:New Bayesian approach helps you solve tough problems in signal processing with ease. Signal processing is based on this fundamental conceptthe extraction of critical information from noisy, uncertain data. Most techniques rely on underlying Gaussian assumptions for a solution, but what happens when these assumptions are erroneous? Bayesian techniques circumvent this limitation by offering a completely different approach that can easily incorporate non-Gaussian and nonlinear processes along with all of the usual methods currently available. This text enables readers to fully exploit the many a.
Descripción Física:1 online resource (xxiii, 445 pages) : illustrations, map
Bibliografía:Includes bibliographical references and index.
ISBN:9780470430583
0470430583
9781118210543
1118210549
0470180943
9780470180945
9780470430576
0470430575