Adaptive filtering is used in a wide range of applications including communication, audio, video and biomedical engineering.
The course provides basic knowledge in statistical signal processing and the theory of optimal filters and how they can be applied. The course presents signal processing methodology and solutions to problems where digital systems tune in automatically and adapt to the environment. The student is given enough theoretical and practical knowledge to independently be able to formulate the mathematical problem, solve it and implement the solution for use with real-life signals.
Course book: Simon Haykin, Adaptive Filter Theory, Fifth Edition.