Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Abstract :
An overview is presented of several methods, filter structures, and recursive algorithms used in adaptive infinite-impulse response (IIR) filtering. Both the equation-error and output-error formulations are described, although the focus is on the adaptive algorithms and properties of the output-error configuration. These parameter-update algorithms have the same generic form, and they are based on a prediction-error performance criterion. A direct-form implementation of the adaptive filters is emphasized, but alternative realizations such as the parallel and lattice forms are briefly discussed. Several important issues associated with adaptive IIR filtering, including stability monitoring, the SPR condition, and convergence, are addressed.<>
Keywords :
adaptive filters; convergence; digital filters; filtering and prediction theory; reviews; signal processing; stability; SPR condition; adaptive IIR filtering; adaptive filters; convergence; digital filters; equation error formulation; infinite-impulse response; lattice forms; output-error formulations; overview; parallel forms; parameter-update algorithms; prediction-error performance criterion; recursive algorithms; signal processing; stability monitoring; Adaptive control; Adaptive filters; Additive noise; Equations; Filtering; Finite impulse response filter; IIR filters; Programmable control; Signal processing algorithms; System identification;
