Adaptive filter theory / Simon Haykin

abbreviations p. 932

Appendix p.

Bibliography p. 941

Incluye glosario p. 928

Principal symbols p. 933

Linear filter structures. Backround material.Discrete-time signal processing. Stationary processes and models. Spectrum analysis. Eigenanalysis. Linear optimum filtering. Wiener filters. Linear prediction. Kalman filters. Linear adaptive filtering. Method of steepes descent. Least-Mean-Square algorithm. Frequency-domain adaptive filters. Method of least squares. Rotations and reflections. Recursive least-squares algorithm. Square-Root Adaptive filters. Order-recursive adaptive filters. Tracking of time-varyng systems. Finite-precision effects. Nonlinear adaptive filtering. Blind deconvolution. Back-propagation learning. Radial basis function networks. Complex variables. Differentiation with respect to a vector. Methods of lagrange multipliers. Estimation theory. Maximum-entropy method. Minimum-variance distortionless response spectrum. Grandient adaptive lattice algorithm. Steady-state analysis of the LMS Algorithm without invoking the independence assumption.