Statistical and adaptive signal processing : spectral estimation, signal modeling, adaptive filtering, and array processing
By: Manolakis, Dimitris G
Title By: Ingle, Vinay K | Kogon, Stephen M
Material type: BookPublisher: Boston : Artech House, c2005.Description: xviii, 796 p. : ill. ; 29 cm.ISBN: 9781580536103Subject(s): Signal processing -- Statistical methods | Adaptive signal processing | Computers -- Information Theory | Signals & Signal ProcessingDDC classification: 621.382/2 Online resources: Location MapItem type | Home library | Call number | Status | Date due | Barcode | Item holds |
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REGULAR | University of Wollongong in Dubai Main Collection | 621.3822 MA ST (Browse shelf) | Available | T0052237 |
, Shelving location: Main Collection Close shelf browser
621.3822 IN ES Essentials of digital signal processing using Matlab | 621.3822 KA FU Fundamentals of statistical signal processing : | 621.3822 KA SI Signals, processes, and systems : an interactive multimedia introduction to signal processing / | 621.3822 MA ST Statistical and adaptive signal processing : | 621.3822 MC DS DSP First | 621.3822 MC SI Signal processing first | 621.3822 MC SI Signal processing first |
Originally published: Boston : McGraw-Hill, c2000.
Includes bibliographical references (p. 769-785) and index.
Signal processing is an essential topic for all practicing and aspiring electrical engineers to understand no matter what specific area they are involved in. Originally published by McGraw-Hill* and now reissued by Artech House, this definitive volume offers a unified, comprehensive and practical treatment of statistical and adaptive signal processing. Written by leading experts in industry and academia, the book covers the most important aspects of the subject, such as spectral estimation, signal modeling, adaptive filtering, and array processing. This unique resource provides balanced coverage of implementation issues, applications, and theory, making it a smart choice for professional engineers and students alike. The book presents clear examples, problem sets, and computer experiments that help readers master the material and learn how to implement various methods presented in the chapters. This invaluable reference also includes a set of Matlab[registered] functions that engineers can use to solve real-world problems in the field. The book is packed with over 3,000 equations and more than 300 illustrations.