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Mathematical Methods and Algorithms - Paperback, by Moon Todd; Stirling - Good c
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eBay item number:404969130744
Item specifics
- Condition
- Book Title
- Mathematical Methods and Algorithms for Signal Processing
- ISBN
- 9780201361865
- Subject Area
- Computers, Technology & Engineering, Mathematics
- Publication Name
- Mathematical Methods and Algorithms for Signal Processing
- Item Length
- 10.3 in
- Publisher
- Pearson Education
- Subject
- Programming / Algorithms, Signals & Signal Processing, Discrete Mathematics
- Publication Year
- 1999
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 1.6 in
- Item Width
- 8.3 in
- Item Weight
- 66.4 Oz
- Number of Pages
- 984 Pages
About this product
Product Information
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.
Product Identifiers
Publisher
Pearson Education
ISBN-10
0201361868
ISBN-13
9780201361865
eBay Product ID (ePID)
428878
Product Key Features
Publication Name
Mathematical Methods and Algorithms for Signal Processing
Format
Trade Paperback
Language
English
Subject
Programming / Algorithms, Signals & Signal Processing, Discrete Mathematics
Publication Year
1999
Type
Textbook
Subject Area
Computers, Technology & Engineering, Mathematics
Number of Pages
984 Pages
Dimensions
Item Length
10.3 in
Item Height
1.6 in
Item Width
8.3 in
Item Weight
66.4 Oz
Additional Product Features
LCCN
99-031038
Intended Audience
College Audience
Lc Classification Number
Tk5102.9.M63 2000
Table of Content
I. 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.
Copyright Date
2000
Dewey Decimal
621.382/2/0151
Dewey Edition
21
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