This book is intended for graduate students at the first year or advanced graduate level in the areas of statistical and adaptive signal processing, as well as practicing engineers. The goal of this book is to provide a unified, complete, and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing.
The text is written in an intuitive manner and includes many illustrative examples. In addition a sufficient number of computer based experiments are included that illustrate important concepts to the reader for ease of implementation. Throughout the book a sufficient emphasis has been placed on applications for the purposes of demonstrating the utility of various techniques.
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Dimitris G. Manolakis is a member of the technical staff at M.I.T. Lincoln Laboratory. Previously, he was a principal member of the research staff at Riverside Research Institute. Vinay K. Ingle is an associate professor of electrical and computer engineering at Northeastern University. Stephen M. Kogon is a member of the technical staff at M.I.T. Lincoln Laboratory. Previously, he has been associated with Raytheon Co., Boston College, and Georgia Tech Research Institute.
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Book Description McGraw-Hill Science/Engineerin, 1999. Hardcover. Book Condition: New. Bookseller Inventory # P110070400512
Book Description McGraw-Hill Science/Engineering/Math, 1999. Hardcover. Book Condition: New. Bookseller Inventory # DADAX0070400512
Book Description McGraw-Hill Science/Engineering/Math. Hardcover. Book Condition: New. 0070400512 New Condition. Bookseller Inventory # NEW4.0024080
Book Description Book Condition: Brand New. Book Condition: Brand New. Bookseller Inventory # 97800704005111.0
Book Description McGraw-Hill Science/Engineering/Math, 1999. Hardcover. Book Condition: New. book. Bookseller Inventory # 0070400512