经验模式分解域自适应滤波方法

doi:10.3969/j.issn.1001-2400.2012.06.025

Abstract

Abstract:

An adaptive filtering method in the empirical mode decomposition domain is proposed to detect the edges of a noisy signal, and two methods for selecting the noise power threshold are presented. Firstly, the adaptive filtering method decomposes the noisy signal by empirical mode decomposition; secondly, the spatial correlation of the first derivatives of residuals in adjacent scales is calculated; thirdly, the normalized spatial correlation is compared with the first derivative point by point to achieve the filtering; Finally, the noise power threshold decides whether the filtering should be finished or not. Simulation tests show that the new adaptive filtering method can accurately detect edges of signals, and suppress the noise.

Key words: edge detection, multi-scale, spatial correlation, adaptive filtering, threshold, empirical mode decomposition

CLC Number:

TN911.7

LI Ye;YANG Jiawei;AN Jinkun;LIANG Yanxia. Adaptive filtering method in the empirical mode decomposition domain[J].J4, 2012, 39(6): 154-161.

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Adaptive filtering method in the empirical mode decomposition domain

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