DocumentCode
396559
Title
Convergence analysis of a CORDIC-based gradient adaptive lattice filter
Author
Shiraishi, Shin´ichi ; Haseyama, Miki ; Kitajima, Hideo
Author_Institution
Sch. of Eng., Hokkaido Univ., Sapporo, Japan
Volume
4
fYear
2003
fDate
25-28 May 2003
Abstract
This paper presents a theoretical analysis of a CORDIC-based gradient adaptive lattice filter. First, we provide a convergence model and reveal convergence properties of filter coefficients. Second, we derive a steady-state model based on a Markov chain. By using the steady-state model, the relation between the step size parameter and the variance of the estimation error is clarified. The results of the analysis facilitate an efficient hardware design of the filter.
Keywords
Markov processes; adaptive filters; convergence of numerical methods; gradient methods; lattice filters; CORDIC-based gradient adaptive lattice filter; Markov chain; convergence analysis; convergence model; efficient hardware design; estimation error variance; filter coefficients; steady-state model; step size parameter; Adaptive filters; Computer architecture; Convergence; Equations; Estimation error; Hardware; Iterative algorithms; Lattices; Steady-state; Transversal filters;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN
0-7803-7761-3
Type
conf
DOI
10.1109/ISCAS.2003.1205891
Filename
1205891
Link To Document