Online Averaging Wavelet Denoising Method

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.