Course Name: EE5040 : Adaptive Signal Processing

Description: Introduction to Adaptive Processing General properties, filtering, prediction and smoothing, applications in Communications: Equalisation, Echo Cancellation, Noise cancellation. Optimal Signal Processing Principles of orthogonality, minimum square error, Wiener Hopf equations, state space model, innovations process, Kalman filter equations. Linear Adaptive Equalisation Gradient search and steepest descent adaptation algorithms, effect of eigen-value spread on stability and rate of convergence, s

Slot: C

RoomNo: ESB 213B

Instructor: Srikrishna B

Period: JUL-NOV 2013

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