Fundamentals of Adaptive Signal Processing: Signals and Communication Technology
Autor Aurelio Uncinien Limba Engleză Paperback – 24 sep 2016
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 592.97 lei 43-57 zile | |
Springer International Publishing – 24 sep 2016 | 592.97 lei 43-57 zile | |
Hardback (1) | 710.14 lei 43-57 zile | |
Springer International Publishing – 19 ian 2015 | 710.14 lei 43-57 zile |
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Specificații
ISBN-13: 9783319353418
ISBN-10: 3319353411
Ilustrații: XXV, 704 p. 280 illus., 242 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.01 kg
Ediția:Softcover reprint of the original 1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seria Signals and Communication Technology
Locul publicării:Cham, Switzerland
ISBN-10: 3319353411
Ilustrații: XXV, 704 p. 280 illus., 242 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.01 kg
Ediția:Softcover reprint of the original 1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seria Signals and Communication Technology
Locul publicării:Cham, Switzerland
Cuprins
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.
Notă biografică
Aurelio Uncini is full Professor at Sapienza University of Rome, Italy, teaching Circuits Theory, Adaptive Algorithm and Parallel Computing, Digital Audio Processing. He is the director of the laboratory of Intelligent Signal Processing and Multimedia (ISPAMM) and co-founder of Cyber Intelligence and Information Security (CIS) research center at Sapienza University of Rome.
Textul de pe ultima copertă
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.
Caracteristici
Explains the fundamental concepts of adaptive signal processing Provides robust algorithms and evaluation tools for a wide range of application scenarios Uses a simple mathematical language but adopts a rigorous approach Includes detailed appendices, ensuring the text is self-contained