Algorithms for noise reduction in signals : theory and practical examples based on statistical and convolutional analysis /

This book is the result of an exhaustive review of the general algorithms used for noise reduction using two general application criteria: one-input, one-output systems, and two-input, one-output systems.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Iglesias Martínez, Miguel Enrique (Autor), García March, Miguel Ángel (Autor), Milián Enrique, Carles (Autor), Fernández de Córdoba, Pedro (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2022]
Colección:IOP (Series). Release 22.
IOP ebooks. 2022 collection.
Temas:
Signal processing > Digital techniques.
Electronic noise.
Signal processing.
TECHNOLOGY & ENGINEERING / Signals & Signal Processing.
Acceso en línea:Texto completo
Descripción
Sumario:This book is the result of an exhaustive review of the general algorithms used for noise reduction using two general application criteria: one-input, one-output systems, and two-input, one-output systems.
Notas:"Version: 20221201"--Title page verso.
Descripción Física:1 online resource (various pagings) : illustrations.
Also available in print.
Público:Engineers and scientists involved with nose reduction and signal processing.
Bibliografía:Includes bibliographical references.
ISBN:9780750335911
9780750335904

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