Mathematical Methods and Algorithms for Signal Processing

Moon, Todd

ISBN 10: 0201361868 / ISBN 13: 9780201361865

Verlag: Pearson, 1999

Beschreibung

This item shows signs of wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact , but may have aesthetic issues such as tears, bends, scratches, and scuffs. Spine may also show signs of wear. Pages may include some notes and highlighting. May include "From the library of" labels. Satisfaction Guaranteed. Bestandsnummer des Verkäufers 4BQGBJ013G28_ns

Bibliografische Details

Titel: Mathematical Methods and Algorithms for ...

Verlag: Pearson

Erscheinungsdatum: 1999

Einband: paperback

Zustand: Good

Über diesen Titel

Inhaltsangabe:

For Senior/Graduate Level Signal Processing courses. The book is also suitable for a course in advanced signal processing, or for self-study. Mathematical Methods and Algorithms for Signal Processing tackles the challenge of providing students and practitioners with the broad tools of mathematics employed in modern signal processing. Building from an assumed background in signals and stochastic processes, the book provides a solid foundation in analysis, linear algebra, optimization, and statistical signal processing.

Über die Autorin bzw. den Autor:

TODD K. MOON is currently with the Electrical and Computer Engineering department at Utah State University, where he has taught widely in the area of signals and systems, including signal processing, communications, controls, and information theory. His research interests have included signal separation, spread-spectrum communication, wavelet modulation, speech processing, and signal reconstruction. WYNN C. STIRLING is a professor of electrical engineering at Brigham Young University, where he has served on the faculty since 1984. He received his Ph.D. in electrical engineering from Stanford University, and has worked as a research engineer for Rockwell International Corporation, ESL, Inc. (now TRW), and Autonetics. His research interests include decision theory, control theory, estimation theory, and stochastic processes. Dr. Stirling has contributed numerous articles to professional journals, and is a member of IEEE and Phi Beta Kappa.