Title :
Parallel implementations of adaptive multichannel least squares lattice filters
Author :
Yang, B. ; Böhme, J.F.
Author_Institution :
Dept. of Electr. Eng., Ruhr Univ., Bochum, West Germany
Abstract :
Efficient, numerically stable and highly concurrent algorithms for adaptive multichannel least-squares lattice filters are presented. The require O(pm2) orthogonal operations to update the linear prediction and estimation errors as well as all reflection coefficients for a m-channel and p-tap problem. Parallel array architectures for high-speed implementations are discussed
Keywords :
adaptive filters; computational complexity; digital filters; filtering and prediction theory; parallel architectures; FIR filtering; adaptive multichannel least squares lattice filters; highly concurrent algorithms; parallel array architectures; parallel implementations; Adaptive filters; Covariance matrix; Estimation error; Filtering; Finite impulse response filter; Lattices; Least squares methods; Nonlinear filters; Reflection; Vectors;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.112401
