Title :
On lattice-form algorithms for adaptive IIR filtering
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Abstract :
Lattice-form algorithms are described for adaptive IIR (infinite-impulse-response) filtering that are based on the Gauss-Newton search method. Several approximations of the Hessian matrix that have different levels of computational complexity are considered, and the results are compared to a previous IIR lattice algorithm. Computer simulations in a system-identification configuration illustrate their convergence properties. Algorithms for the two-multiplier lattice with distinct coefficients in each section, and the one-multiplier form, are outlined
Keywords :
computational complexity; convergence of numerical methods; digital filters; filtering and prediction theory; Gauss-Newton search method; Hessian matrix; adaptive IIR filtering; computational complexity; computer simulations; convergence properties; digital filters; infinite-impulse-response; lattice-form algorithms; one-multiplier form; system-identification configuration; two-multiplier lattice; Adaptive filters; Computational complexity; Computer simulation; Filtering algorithms; IIR filters; Lattices; Least squares methods; Newton method; Recursive estimation; Search methods;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.196904
