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Wavelet-Based Removal of Sinusoidal Interference from a Signal

Xu, Lijun, Yan, Yong (2004) Wavelet-Based Removal of Sinusoidal Interference from a Signal. Measurement Science and Technology, 15 (9). pp. 1779-1786. ISSN 0957-0233. (doi:10.1088/0957-0233/15/9/015) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:8708)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
https://doi.org/10.1088/0957-0233/15/9/015

Abstract

This paper presents a wavelet-based filtering approach to the recovery of a signal contaminated with sinusoidal interference of a single frequency component or its harmonics. A key step in the approach is to threshold the detail coefficients of the signal by using a level-dependent threshold. Unlike the use of notch and comb-shaped filters, the new approach does not result in notable attenuation to the signal at interference frequencies and is especially suited for the removal of sinusoidal interference that is located within the signal spectrum. Evaluation of the approach has been conducted using a simulated piecewise smooth signal and a real, rapidly changing pressure signal. Results obtained from the studies demonstrate that both the sinusoidal interference and the white noise in the signal can be removed effectively without excessive attenuation to the signal at the interference frequencies.

Item Type: Article
DOI/Identification number: 10.1088/0957-0233/15/9/015
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Yiqing Liang
Date Deposited: 03 Oct 2008 14:51 UTC
Last Modified: 16 Nov 2021 09:46 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/8708 (The current URI for this page, for reference purposes)

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