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.