Sub-band structures for adaptive line enhancement

Author

Martins, Carlos R.

Author_Institution

ENIDH, INESC, Lisbon, Portugal

Volume

1

fYear

2001

fDate

2001

Firstpage

138

Abstract

A new structure for adaptive line enhancement (ALE) is proposed. Separating the input signal in complementary sub-bands gives an increasing of the signal-to-noise ratio within each sub-band. So, short length filters can be used reducing the misadjustment and the eigenvalue spread, which is important when the LMS algorithm is used to adapt the weight vector. The steady-state behavior of the adaptive structure is analyzed for an input signal containing multiple sinusoids in white noise. It is shown that the sub-band processing improves the transient and the steady-state performance of the adaptive system

Keywords

adaptive filters; adaptive signal processing; eigenvalues and eigenfunctions; filtering theory; least mean squares methods; white noise; LMS algorithm; adaptive line enhancement; eigenvalue spread; multiple sinusoids; signal filtering; signal-to-noise ratio; sub-band structure; weight vector; white noise; Adaptive filters; Adaptive systems; Eigenvalues and eigenfunctions; Least squares approximation; Narrowband; Noise cancellation; Signal analysis; Signal to noise ratio; Steady-state; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2001. MWSCAS 2001. Proceedings of the 44th IEEE 2001 Midwest Symposium on

Conference_Location

Dayton, OH

Print_ISBN

0-7803-7150-X

Type

conf

DOI

10.1109/MWSCAS.2001.986134

Filename

986134