Fundamentals of Adaptive Signal Processing

This book is an accessible guide to adaptive signal processing methods that equips the reader with advanced theoretical and practical tools for the study and development of circuit structures and provides robust algorithms relevant to a wide variety of application scenarios. Examples include multimo...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Uncini, Aurelio (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Signals and Communication Technology,
Temas:
Signal processing.
Numerical analysis.
Computational intelligence.
Electronic circuits.
Signal, Speech and Image Processing .
Numerical Analysis.
Computational Intelligence.
Electronic Circuits and Systems.
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Fundamentals of Adaptive Signal Processing  |h [electronic resource] /  |c by Aurelio Uncini. 
250 |a 1st ed. 2015. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2015. 
300 |a XXV, 704 p. 280 illus., 242 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Signals and Communication Technology,  |x 1860-4870 
505 0 |a Discrete-Time Signals and Circuits Fundamentals -- Introduction to Adaptive Signal Processing -- Optimal Linear Filter Theory -- Least Squares Method -- First Order Adaptive Algorithms -- Second Order Adaptive Algorithms -- Block and Transform Domain Algorithms -- Linear Prediction and Recursive Order Algorithms -- Discrete Space-Time Filtering. 
520 |a This book is an accessible guide to adaptive signal processing methods that equips the reader with advanced theoretical and practical tools for the study and development of circuit structures and provides robust algorithms relevant to a wide variety of application scenarios. Examples include multimodal and multimedia communications, the biological and biomedical fields, economic models, environmental sciences, acoustics, telecommunications, remote sensing, monitoring, and, in general, the modeling and prediction of complex physical phenomena. The reader will learn not only how to design and implement the algorithms but also how to evaluate their performance for specific applications utilizing the tools provided. While using a simple mathematical language, the employed approach is very rigorous. The text will be of value both for research purposes and for courses of study. 
650 0 |a Signal processing. 
650 0 |a Numerical analysis. 
650 0 |a Computational intelligence. 
650 0 |a Electronic circuits. 
650 1 4 |a Signal, Speech and Image Processing . 
650 2 4 |a Numerical Analysis. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Electronic Circuits and Systems. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783319028088 
776 0 8 |i Printed edition:  |z 9783319028064 
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830 0 |a Signals and Communication Technology,  |x 1860-4870 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-319-02807-1  |z Texto Completo 
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912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712) 

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