Academic Catalog


Course Code: 5670504
METU Credit (Theoretical-Laboratory hours/week): 3(3-0)
ECTS Credit: 8.0
Department: Electrical And Electronics Engineering
Language of Instruction: English
Level of Study: Graduate
Course Coordinator: Prof.Dr. TOLGA LOLU
Offered Semester: Spring Semesters.

Course Content

Overview of discrete-time stochastic processes. Wiener filter theory. Linear prediction. LMS algorithm and its variants. Frequency domain adaptive filtering; RLS, QR-RLS algorithms and their connection to Kalman Filtering. Order recursive adaptive filters; QRD-LSL algorithm and its variants. Analysis and discussion of adaptation algorithms and their convergence properties. Computational complexity considerations. Filter structures and algorithms for fast adaptation and real-time processing. Numerical stability of fast algorithms. IIR adaptive filters. Applications of adaptive filtering.