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An adaptive wavelet denoising method for the measuring system of EMP signals

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4 Author(s)
Shi Lihua ; EMP Lab., Nanjing Eng. Inst., China ; Chen Bin ; Zhou Binhua ; Gao Cheng

An adaptive wavelet denoising method is proposed to eliminate the noise induced by the measuring system of EMP signals. This method employs a threshold-searching strategy to select an optimal denoising threshold for a given system. Wavelet decomposition and reconstruction are combined with neural network nonlinear threshold-filtering units in the new denoising algorithm. Based on a group of training signal, the denoising threshold can be learned adaptively. The training algorithm and application examples are given in this paper

Published in:

Environmental Electromagnetics, 2000. CEEM 2000. Proceedings. Asia-Pacific Conference on

Date of Conference:

2000