Statistical digital signal processing and modeling / Monson H. Hayes.

Por:

Hayes, M. H. (Monson H.), 1949-

Tipo de material: Texto

texto

Tipo de medio:

sin mediación

Tipo de soporte:

volúmen

ISBN:

0471594318
9780471594314

Tema(s):

Procesamiento de señales

Formatos físicos adicionales: Online version:: Statistical digital signal processing and modeling.; Online version:: Statistical digital signal processing and modeling.Clasificación CDD:

621.3822 H417e 1996

Resumen: "The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter."--pub. desc.

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Existencias
Tipo de ítem	Biblioteca actual	Colección	Signatura topográfica	Estado	Notas	Fecha de vencimiento	Código de barras	Reserva de ítems
Libro	Biblioteca Central	Colección General	621.3822 H417e 1996 (Navegar estantería(Abre debajo))	Disponible	Irma Nayeli Angulo Sherman		33409003118779

Total de reservas: 0

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Previo	621.3821 S782d 2004 Data and computer communications /	621.3822 C559L 1998 LabVIEW signal processing /	621.3822 G573d 2013 Digital signal processing for medical imaging using MATLAB /	621.3822 H417e 1996 Statistical digital signal processing and modeling /	621.3822 H873s 2014 Schaums outlines signals and systems /	621.3822 K15f 2007 Fundamentals of signals and systems using the Web and MATLAB /	621.3822 L352L 2018 Linear systems and signals /	Siguiente

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"The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter."--pub. desc.

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