DocumentCode
406250
Title
On extended RLS lattice adaptive filter variants: error-feedback, normalized and array-based algorithms
Author
Merched, Ricardo
Author_Institution
Dept. of Electron. & Comput. Eng., Fed. Univ. of Rio de Janeiro, Brazil
Volume
1
fYear
2003
fDate
14-17 Dec. 2003
Firstpage
822
Abstract
This paper develops several lattice structures for RLS orthonormally-based input data structures, including error feedback, normalized and array-based forms. All recursions are theoretically equivalent, however they tend to differ in performance under finite precision effects. As a result, we verify that compared to the standard extended lattice equations, the new variants do not improve robustness to quantization, unlike what is normally expected for FlR models.
Keywords
FIR filters; adaptive filters; lattice filters; FlR models; RLS lattice adaptive filter; array-based algorithms; error feedback recursions; finite impulse response; standard extended lattice equations; Adaptive arrays; Adaptive filters; Computer errors; Data structures; Estimation error; Feedback; Finite impulse response filter; Lattices; Reflection; Resonance light scattering;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location
Nanjing
Print_ISBN
0-7803-7702-8
Type
conf
DOI
10.1109/ICNNSP.2003.1279402
Filename
1279402
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