A Steady-State Analysis of a CORDIC-Based Adaptive ARMA Lattice Filter

Author

Shiraishi, Shin´ichi ; Haseyama, Miki ; Kitajima, Hideo

Author_Institution

Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo

fYear

2005

fDate

21-24 Nov. 2005

Firstpage

1

Lastpage

4

Abstract

This paper analyzes steady-state properties of a CORDIC-based adaptive ARMA lattice filter. In our earlier work, convergence properties of the filter in the non-steady state have been clarified; however, its behavior in the steady-state is not discussed. Therefore, we develop a distinct analysis technique based on a Markov chain in order to investigate steady-state properties of the filter. By using the proposed technique, the relation between step size and coefficient estimation error is revealed. We can use the results of the analysis to obtain an efficient design of the filter.

Keywords

Markov processes; adaptive filters; autoregressive moving average processes; filtering theory; lattice filters; CORDIC; Markov chain; adaptive ARMA lattice filter; adaptive signal processing; coefficient estimation error; steady-state analysis; steady-state properties; step size; Adaptive filters; Analytical models; Convergence; Estimation error; Information analysis; Information filtering; Information filters; Information science; Lattices; Steady-state;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2005 2005 IEEE Region 10

Conference_Location

Melbourne, Qld.

Print_ISBN

0-7803-9311-2

Electronic_ISBN

0-7803-9312-0

Type

conf

DOI

10.1109/TENCON.2005.301278

Filename

4085089