Title :
RLS-Laguerre lattice adaptive filtering: error feedback and array-based algorithms
Author :
Merched, Ricardo ; Sayed, Ali H.
Author_Institution :
Dept. of Electr. Eng., California State Univ., Los Angeles, CA, USA
Abstract :
This paper develops lattice structures for RLS Laguerre adaptive filtering including error-feedback and array-based lattice versions. All structures are efficient in that their computational cost is proportional to the number of taps. Although these structures are theoretically equivalent, their performance can differ under practical considerations, such as finite-precision effects and regularization. Simulations are included to illustrate this point
Keywords :
adaptive filters; least squares approximations; recursive filters; stochastic processes; RLS-Laguerre lattice adaptive filtering; array-based algorithms; computational cost; error feedback; finite-precision effects; regularization; Adaptive arrays; Adaptive filters; Chromium; Computational efficiency; Computational modeling; Data structures; Feedback; Filtering algorithms; Lattices; Resonance light scattering;
Conference_Titel :
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6685-9
DOI :
10.1109/ISCAS.2001.921159
