Notes for Adaptive Signal Processing - ASP by Verified Writer

Introduction, Adaptive Systems, Definition and characteristics, General properties, Open and Closed Loop Adaptations, Applications

Adaptive Linear Combiner, Performance function, Gradient and Mean Square Error, Examples

Theory of Adaptation with Stationary Signals, Properties of the Quadratic Performance Surface, Significance of eigen values, eigen vectors, coorelation matrix,

Searching the Proformance Surface, A simple gradient search algorithm, Stability and Rate of convergence, the learning curve,

Gradient Estimation and its effects on Adoption, The performance penalty, Variance of the gradient estimate, Misadjustment

Adaptive Algorithms and Structures, The LMS Algorithm, Convergence, learning Curve, Performanece analysis, Filtered X LMS algorithm,

Applications of Adaptive Systems, Adaptive Modeling and System Identification using adaptive filter, Inverse Adaptive Modeling, Deconvolution, and equalization using adaptive filter, Adaptive Control Systems using Filtered X LMS Algorithm, Adaptive Noise Cancellation using Adaptive filter,