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Fundamentals of Adaptive Signal Processing [electronic resource] / by Aurelio Uncini.

By: Uncini, Aurelio [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Signals and Communication Technology: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: XXV, 704 p. 280 illus., 242 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319028071.Subject(s): Engineering | Numerical analysis | Computational intelligence | Electronic circuits | Engineering | Signal, Image and Speech Processing | Numeric Computing | Computational Intelligence | Circuits and SystemsAdditional physical formats: Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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.
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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.

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.

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