Title :
A highly modular normalized adaptive lattice algorithm for multichannel least squares filtering
Author :
Glentis, George-Othon ; Slump, Cornelis H.
Author_Institution :
Dept. of Electr. Eng., Twente Univ., Enschede, Netherlands
Abstract :
A highly modular normalized adaptive lattice algorithm for multichannel least squares FIR filtering and multivariable system identification, is presented. Multichannel filters with different numbers of delay elements per input channel are allowed. The main features of the proposed multichannel adaptive lattice least squares algorithm are the use of scalar only operations, multiplications/divisions and square roots, and the local communication which enables the development of a fully pipelinable architecture
Keywords :
FIR filters; adaptive filters; identification; lattice filters; least squares approximations; multivariable systems; pipeline processing; FIR filtering; delay elements; divisions; fully pipelinable architecture; highly modular normalized adaptive lattice algorithm; input channel; multichannel least squares filtering; multiplications; multivariable system identification; scalar only operations; square roots; Adaptive filters; Autocorrelation; Delay; Equations; Error correction; Filtering algorithms; Finite impulse response filter; Lattices; Least squares methods; Matrix decomposition;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480508
