COURSE OBJECTIVES
- To introduce the principles of optimum filters such as Wiener and Kalman filters
- To introduce the principles of adaptive filters and their applications to communication engineering
- To introduce the concepts of multi-resolution analysis
COURSE OUTCOMES
On completion of the course, student will be able to
CO1 - Apply optimum filters appropriately for a given communication application.
CO2 - Design appropriate adaptive algorithm for processing non-stationary signals.
CO3 - Analyse wavelet transforms for signal and image processing-based applications.
CO4 - Demonstrate filtering of color images.
CO5 - Perform vector operations on color images.
CO6 - Develop code for 3D image processing.
- Teacher: MUTHIAH M. A