Examines both the mathematical theory behind various linear adaptive filters with finite-duration impulse response and the elements of supervised neural networks. The fourth edition of this book has been updated and refined to stay current with the field. Contents: Stochastic processes; Wiener filters; linear prediction; method of steepest descent; least-mean-square adaptive filters; method of least squares; recursive least-square adaptive filters; Kalman filters; square-root adaptive filters; order-recursive adaptive filters; finite-precision effects; tracking of time-varying systems; transform-domain adaptive filters; subspace adaptive filters; nonlinear adaptive filters.
Contacte con nosotros para mejorar la información de este artículo.
Materias de este libro
Submaterias de este libro
Materias de este libro
Submaterias de este libro
Materias de este libro
Submaterias de este libro *
Díaz de Santos
Consulte la ayuda si desea obtener más información al respecto.