Mathematical Methods and Algorithms for Signal Processing

Todd K. Moon/ Wynn C. Stirling

ISBN 10: 0201361868 / ISBN 13: 9780201361865

Edité par Prentice Hall, 1999

A propos de cet article

paperback/cd-rom edition. 937 pages. 10.50x8.50x1.50 inches. In Stock.

N° de réf. du vendeur x-0201361868

Détails bibliographiques

• Titre: Mathematical Methods and Algorithms for Signal Processing
• Éditeur: Prentice Hall
• Date de parution: 1999
• Langue: anglais
• ISBN à 10 chiffres: 0201361868
• ISBN à 13 chiffres: 9780201361865
• Reliure: Paperback
• État de l'article: Brand New

A propos de ce titre

Synopsis

Mathematical Methods and Algorithms for Signal Processing tackles the challenge of providing readers 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. KEY TOPICS: Interesting modern topics not available in many other signal processing books; such as the EM algorithm, blind source operation, projection on convex sets, etc., in addition to many more conventional topics such as spectrum estimation, adaptive filtering, etc. MARKET: For those interested in signal processing.

À propos de l?auteur

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.