| INSTRUCTOR: | Javier tapia |
| E MAIL: | jtapia@niu.edu |
| OFFICE: | EB-268 |
| PHONE: | 753-6921 |
| COURSE OBJECTIVE: | ELE 559 is an application-oriented course focusing on three topics: 1. The fundamental concepts of adaptive signal processing 2. Design and implemenatation of adaptive algorithms using MATLAB and C programs, and 3. Real-world applications |
| PRE-REQUISITE: | ELE 551 Random Signal Processing |
| TEXTBOOK: | " Adaptive Filter Theory," by Simon Haykin, 4th Ed. Prentice Hall, 2002 |
| GRADING: |
(1) Exam 50% (2) Computer Assignments 50%
A- > 90% |
| COURSE OUTLINE: |
Chapter 1 Introduction to Adaptive Filtering (1) Applications of Adaptive Filters (2) Examples Chapter 2 Weiner Filters (1) Linear Optimum Filter (2) Principle of Orthogonality (3) Weiner-Hopf Equations Chapter 3 Linear Prediction (1) Direct form linear prediction filtering (2) Normal equations for linear prediction filtering (3) Levinson algorithm Chapter 4 Method of Steepest Descent (1) The Method of Steepest Descent applied to the Weiner Filter (2) Stability of the Steepest Descent algorithm (3) Virtues and Limitations of the Steepest Descent algorithm Chapter 5 Least-Mean-Squared Adaptive Filters (1) LMS adaptive algorithm (2) Properties of LMS adaptive algorithm (3) Variants of the LMS algorithm Chapter 6 Recursion least-Squared Adaptive Filters (1) Linear Least-Squared problem (2) Matrix Inversion Lemma (3) Recursive for MSE criteria Chapter 7 Lattice Filters (1) Lattice predictos (2) Joint Process Estimation |
| RECOMMENDED READING: |
(1) "Optimal and Adaptive Signal Processing,"
by P. Clarkson,
CRC Press, 1993 (2) "Adaptive Signal Processing," by B. Widrow, S. Stearns, Prentice-Hall, 1985 (3) "Adaptive Filters," C.F.N. Cowan, P.M. Grant, Prentice-Hall, 1985 |
| BACKGROUND MATERIAL: |
(1) "Discrete-Time Signal Processing,"
by A. Oppenheim and R. Schafer,
Prentice-Hall, 1999 (2) "Optimum Signal Processing," by S. Orfanidis, MacMillan,1988, (3) Matrix Computations, G.Golub,C.Van Loan, Johns Hopkins University Press, 1983 (4) MATLAB Reference Guide: High-Performance Numeric Computation and Visualization Software, The MathWorks, Inc., South Natick, MA |
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