大葉大學圖書館 |

Fundamentals of adaptive signal processing[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	621.3822
書名/作者:	Fundamentals of adaptive signal processing/ by Aurelio Uncini.
作者:	Uncini, Aurelio.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xxv, 704 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Adaptive signal processing.
標題:	Engineering.
標題:	Signal, Image and Speech Processing.
標題:	Numeric Computing.
標題:	Computational Intelligence.
標題:	Circuits and Systems.
ISBN:	9783319028071 (electronic bk.)
ISBN:	9783319028064 (paper)
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-02807-1

Fundamentals of adaptive signal processing[electronic resource] /
Uncini, Aurelio.

Fundamentals of adaptive signal processing[electronic resource] /by Aurelio Uncini. - Cham :Springer International Publishing :2015. - xxv, 704 p. :ill. (some col.), digital ;24 cm. - Signals and communication technology,1860-4862. - Signals and communication technology..

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.

ISBN: 9783319028071 (electronic bk.)

Standard No.: 10.1007/978-3-319-02807-1doiSubjects--Topical Terms:

184330
Adaptive signal processing.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.3822

Fundamentals of adaptive signal processing[electronic resource] /
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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.
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