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Mathematical Methods and Algorithms for Signal Processing by Wynn Stirling and Todd Moon (1999, Trade Paperback)
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Mathematical Methods and Algorithms for Signal Processing, Paperback by Moon, Todd K.; Stirling, Wynn C., ISBN 0201361868, ISBN-13 9780201361865, Brand New, Free shipping in the US This textbook bridges the gap between introductory signal processing classes and the mathematics prevalent in contemporary signal processing research and practice. Moon (Utah State University) and Stirling (Brigham Young) treat linear algebra, statistical signal processing, iterative algorithms, and optimization. The CD-ROM contains algorithms and exercises written in MATLAB. Annotation c. Book News, Inc., Portland, OR ()
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About this product
Product Identifiers
PublisherPearson Education
ISBN-100201361868
ISBN-139780201361865
eBay Product ID (ePID)428878
Product Key Features
Number of Pages984 Pages
LanguageEnglish
Publication NameMathematical Methods and Algorithms for Signal Processing
Publication Year1999
SubjectProgramming / Algorithms, Signals & Signal Processing, Discrete Mathematics
TypeTextbook
Subject AreaMathematics, Computers, Technology & Engineering
AuthorWynn Stirling, Todd Moon
FormatTrade Paperback
Dimensions
Item Height1.6 in
Item Weight66.4 Oz
Item Length10.3 in
Item Width8.3 in
Additional Product Features
Intended AudienceCollege Audience
LCCN99-031038
Dewey Edition21
Dewey Decimal621.382/2/0151
Table Of ContentI. INTRODUCTION AND FOUNDATIONS. 1. Introduction and Foundations. II. VECTOR SPACES AND LINEAR ALGEBRA. 2. Signal Spaces. 3. Representation and Approximation in Vector Spaces. 4. Linear Operators and Matrix Inverses. 5. Some Important Matrix Factorizations. 6. Eigenvalues and Eigenvectors. 7. The Singular Value Decomposition. 8. Some Special Matrices and Their Applications. 9. Kronecker Products and the Vec Operator. III. DETECTION, ESTIMATION, AND OPTIMAL FILTERING. 10. Introduction to Detection and Estimation, and Mathematical Notation. 11. Detection Theory. 12. Estimation Theory. 13. The Kalman Filter. IV. ITERATIVE AND RECURSIVE METHODS IN SIGNAL PROCESSING. 14. Basic Concepts and Methods of Iterative Algorithms. 15. Iteration by Composition of Mappings. 16. Other Iterative Algorithms. 17. The EM Algorithm in Signal Processing. V. METHODS OF OPTIMIZATION. 18. Theory of Constrained Optimization. 19. Shortest-Path Algorithms and Dynamic Programming. 20. Linear Programming. APPENDIXES. A. Basic Concepts and Definitions. B. Completing the Square. C. Basic Matrix Concepts. D. Random Processes. E. Derivatives and Gradients. F. Conditional Expectations of Multinomial and Poisson r.v.s.
SynopsisMathematical 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., This textbook bridges the gap between introductory signal processing classes and the mathematics prevalent in contemporary signal processing research and practice. Moon (Utah State University) and Stirling (Brigham Young) treat linear algebra, statistical signal processing, iterative algorithms, and optimization. The CD-ROM contains algorithms and exercises written in MATLAB., 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., 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. 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. For those interested in signal processing.
LC Classification NumberTK5102.9.M63 2000
