Title :
Unequal-length multichannel δb-Levinson and Schur type RLS algorithms
Author :
Liu, Xiaqi ; Fan, H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
fDate :
1/1/1995 12:00:00 AM
Abstract :
In this correspondence, δb-operator-based unequal-length multichannel Levinson and Schur-type RLS algorithms are developed which have the potential of improved numerical behavior for fast-sampled or ill-conditioned input data. They provide computational improvement over the overparameterization, or the zero padding approach using the existing equal-length multichannel δb algorithms when an unequal length multichannel case is considered
Keywords :
adaptive signal processing; least squares approximations; prediction theory; recursive estimation; telecommunication channels; δb-operator-based algorithms; Levinson algorithms; Schur type RLS algorithm; adaptive signal processing; backward linear prediction model; fast-sampled input data; forward linear prediction model; ill-conditioned input data; unequal length multichannel algorithms; Adaptive signal processing; Computational efficiency; Filters; Predictive models; Resonance light scattering; Signal processing algorithms; Zinc;
Journal_Title :
Signal Processing, IEEE Transactions on
