Adaptive Filters Lecture
Digital signals are ubiquitous and have many applications in several disciplines:
-Digital Media, Social Media (music, voice signals),
-Biomedical Signal Analysis and Diagnosis,
-Bioinformatics
-Autonomous cars, drones, marine vessels, robots
-Big Data Analytics,
-Internet and Communications (music broadcasting, streaming).
-Scientific signal acquisition of any sort, e.g., Environment Sensing, Geophysical Prospecting.
This lecture overviews Adaptive Filters that has many applications in signal processing, automatic control, robotics and autonomous systems. It covers the following topics in detail: Adaptive Filters, Minimum Mean Square Error (MMSE), Widrow LMS Algorithm, Properties of the LMS Algorithm, CLMS Algorithm, Nonlinear Feedforward Complex Adaptive Filters, Kernel Adaptive Filters, KLMS Algorithm.