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Fundamentals of statistical signal processing

A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. Covers important approaches to obtaining an optimal estimator and analyzing its performance; and includes numerous examples as well as applications to real-...

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Detalles Bibliográficos
Autor principal: Kay, Steven M
Lenguaje:eng
Publicado: Prentice Hall PTR 1993
Materias:
Acceso en línea:http://cds.cern.ch/record/2012069
Descripción
Sumario:A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. Covers important approaches to obtaining an optimal estimator and analyzing its performance; and includes numerous examples as well as applications to real- world problems. MARKETS: For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals — radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc.