|Adaptive Filtering||Hours: 3 0 3|
Basic theory of adaptive filter design and implementation, steepest descent, LMS algorithm, mixed norm algorithms, RLS algorithm, nonlinear adaptive filters, and blind de-convolution, analysis of performance and applications.
|Pre-requisites: None||Co-requisites: None|
Hours: XYZ where X = Lecture, Y = Lab, Z = Credit
All hours are per week.
3 Lab hours constitute 1 credit hour
1 credit hour implies 1 lecture of 50mins per academic week. 16 weeks in total.
Pre-Requisite courses are courses required to be completed before this course may be taken
Co-Requisite courses are courses required to be taken along with this course