Optimal Signal Processing ET2410 (ETD008)
The goal of this course is to give background and knowledge in the theory of optimal and statistical signal processing. The course also gives insight and experience in applied signal processing problems. After the course, the student should be able to use and implement algorithms. The course covers three areas: Iterative methods to solve normal equations, signal modelling and spectrum estimation. Common throughout the course is finding solutions by solving Least Squares problems. The courses Functions- and Matrix Theory, Stochastic Processes and Adaptive Signal Processing, or similar, are prerequisites.
For mor information view the Optimal Signal processing course homepage.