Course Description:

EEE 525 is a course targeting electrical and computer engineering students with emphasize on: Signal spaces, signal representation and approximation, wavelets, signal modeling: AR, MA, ARMA models, adaptive filters, iterative and recursive methods in signal processing, spectrum estimation, beam forming and array processing, inverse problems.

Recommended Books:

i) Mathematical Methods and Algorithms for Signal Processing, T. K. Moon and W. C. Stirling.

ii) Matrix Analysis, R. A. Horn and C. R. Johnson.

iii) Fundamentals of Adaptive Filtering, A. H. Sayed.

iv) Linear Estimation, T. Kailath, A. H. Sayed and B. Hassibi.

Academic Dishonesty

The students taking this course are expected to submit their own work in all midterms, projects, homeworks and in class quizes. Please be aware that, being a part of a dishonest plot intentionally (for example, helping others cheat, doing others' homeworks or lab work, giving your reports to others) will also be considered as cheating. Disciplinary acts will be taken for the students who are involved in academic dishonesties, and they will not be offered any voluntary compensation.