Adaptive Algorithms for Data Analysis and Modeling

Catalog description

Theory and analysis of adaptive filters. Optimal filtering, linear prediction, method of least squares. Steepest-descent and newton search methods, gradient estimation, LMS adaptive algorithm, recursive least squares. Gradient and least squares lattice algorithms for joint-process estimation. Convergence analysis, stability conditions, time constants, misadjustment.