Adaptive Signal Processing

Catalog description

This course introduces students to the field of adaptive signal processing as well as several practical aspects of adaptive systems. This course provides an in-depth analysis of various adaptation algorithms such as least mean square adaptive filters, recursive least squares algorithms, and Kalman filters etc. The subject learning is enhanced through experimentation of adaption techniques using Matlab and/or Labview projects centered on applications such as adaptive noise/interference cancellation, signal estimation/ detection, and system identification etc.