Title :
A rotation based multichannel least squares lattice algorithm for adaptive nonlinear filters
Author_Institution :
Dept. of Electr. Eng., Ruhr Univ., Bochum, Germany
Abstract :
An efficient rotation based adaptive multichannel least squares lattice algorithm for multichannel filtering with different filter orders for each input channel is presented. It is shown that this algorithm is suited for adaptive nonlinear filtering based on Volterra and recursive polynomial system models. The new algorithm requires only orthogonal transformations offering superior numerical behavior. Its highly modular and regular structure facilitates VLSI and parallel implementations
Keywords :
VLSI; Volterra series; adaptive filters; least squares approximations; nonlinear filters; recursive filters; Volterra polynomials; adaptive nonlinear filters; filter orders; input channel; least squares lattice algorithm; orthogonal transformations; parallel implementations; recursive polynomial system models; rotation-based multichannel algorithm; Adaptive filters; Difference equations; Eigenvalues and eigenfunctions; Filtering; Finite impulse response filter; Lattices; Least squares methods; Nonlinear filters; Polynomials; Signal processing algorithms;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.394306
