Online Averaging Wavelet Denoising Method

Author

Olama, E. Khadem ; Jazayeri-Rad, H.

Author_Institution

Dept. of Instrum. & Autom., Ahwaz Pet. Univ. of Technol., Iran

fYear

2011

fDate

16-18 Nov. 2011

Firstpage

202

Lastpage

204

Abstract

In this paper, the non-stationary noises are challenged by an online averaging wavelet method filter. The novelty of the filter is using averaging method of combining mean values of each resolution in approximation spaces that computes the average overall frequency in a specific point. The key structure is a mirror usage of data handling the zero abnormality of the filter in time boundaries. this algorithm is usable for jobs with need of elimination noise that knowing the harmonics is less needed and the smoothing of the conventional filters are much that the data would be deleted. after using this algorithm if needed the conventional low-pass filters can be used to extract smoothed data. this method simplicity is appropriate for micro-controller systems.

Keywords

data handling; low-pass filters; wavelet transforms; approximation spaces; data handling; low-pass filters; micro-controller systems; mirror usage; noise elimination; nonstationary noises; online averaging wavelet denoising method; online averaging wavelet method filter; smoothed data extraction; time boundaries; zero abnormality; Approximation methods; Equations; Filtering algorithms; Low pass filters; Noise reduction; Signal to noise ratio; Online Filter; Wavelet Denoising; Wavelet Filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Modeling and Simulation (EMS), 2011 Fifth UKSim European Symposium on

Conference_Location

Madrid

Print_ISBN

978-1-4673-0060-5

Type

conf

DOI

10.1109/EMS.2011.29

Filename

6131216