A combination of two NLMS filters in an adaptive line enhancer

Author

Trump, Tõnu

Author_Institution

Dept. of Radio & Telecommun. Eng., Tallinn Univ. of Technol., Tallinn, Estonia

fYear

2011

fDate

6-8 July 2011

Firstpage

1

Lastpage

6

Abstract

In this paper we study an adaptive line enhancer, the adaptive algorithm of which is based on an affine combination of two adaptive filters. Combination of adaptive filters is an interesting way of improving the performance of adaptive algorithms. The adaptive structure consists of two NLMS adaptive filters that adapt on the same input signal. One of the filters has a large and the other one a small step size. Such a combination is capable of achieving fast initial convergence and small steady state error at the same time. In this paper we study the second order statistics of the output signal of a line enhancer based on a combination of two adaptive filters in steady state.

Keywords

adaptive filters; least mean squares methods; statistics; NLMS filters; adaptive line enhancer; affine combination; second order statistics; small steady state error; Adaptation models; Convergence; Correlation; Least squares approximation; Line enhancers; Noise; Steady-state; Adaptive filtering; analysis; line enhancer;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing (DSP), 2011 17th International Conference on

Conference_Location

Corfu

ISSN

Pending

Print_ISBN

978-1-4577-0273-0

Type

conf

DOI

10.1109/ICDSP.2011.6004882

Filename

6004882