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Information for lesson "Adaptive Signal Processing NPTEL"
Description: This course will develop two main classes of adaptive filter algorithms, namely the LMS and the RLS algorithms. Towards this, it will develop all necessary mathematical tools, in particular, random variables, stochastic processes and correlation structure. The filtering problem is developed in the form of computing orthogonal projection on a signal subspace. Adaptive signal processing concerns with processing of signals where the processing parameters are adjusted continuously to suit time varying signal environmental conditions. Central to adaptive signal processing is the concept of adaptive linear combiner, often called adaptive filter where the combiner (filter) coefficients are trained continuously so that the filter can estimate and track an unknown, target signal.
Resources: OpenCourseware from NPTEL (India), Sheridan College, MIT, UC Berkeley, Stanford & many other of the World's finest University's.
Professors: Michael Williams
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