Over Adapted LMS Algorithm with Codified Error

Author

Lopez, J. Velazquez ; Garcia, J. Carlos Sanchez ; Meana, Hector Perez ; Macias, Miguel Roman ; Ruiz, Teresa Andrade

Author_Institution

Nat. Polytech. Inst.

Volume

1

fYear

2006

fDate

Sept. 2006

Firstpage

255

Lastpage

262

Abstract

In this paper a modification to the mean square algorithm (LMS) appears, with the objective to reduce the floating point operations. This reduction allows to obtain a simple implementation of a digital adaptive filter, inside an integrated circuit, because a reduction of the floating point operations is made. The obtained advantages with this modification are the over adaptation of LMS algorithm, in order to increase the speed of convergence or higher frequency signals processing

Keywords

adaptive filters; convergence of numerical methods; digital filters; digital integrated circuits; floating point arithmetic; least mean squares methods; adapted least mean square algorithm; codified error; convergence; digital adaptive filter; floating point operation; higher frequency signal processing; integrated circuit; Adaptive filters; Convergence; Digital integrated circuits; Digital signal processing; Energy consumption; Equations; Field programmable gate arrays; Frequency; Intersymbol interference; Least squares approximation;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Robotics and Automotive Mechanics Conference, 2006

Conference_Location

Cuernavaca

Print_ISBN

0-7695-2569-5

Type

conf

DOI

10.1109/CERMA.2006.70

Filename

4019747