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Talk · IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering · January 1, 2019

Denoising Algorithm Based on EMD with Adaptive Adjustment of Coefficients

Alexander S. Voznesensky, Dmitrii Kaplun, Sergei Romanov, Vyacheslav V. Gulvanskii, Dmitry M. Klionskiy

Dmitry Kaplun
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Abstract

This paper deals with the denoising algorithm based on EMD with adaptive adjustment of the coefficients depending on the noise level. It is compared with the known denoising algorithms based on EMD, wavelets and Wiener filter. The evaluation of the filtration quality was performed. Synthetic signals of a complex non-stationary structure are used as initial data.

Image and Signal Denoising MethodsAdvanced Adaptive Filtering TechniquesMachine Fault Diagnosis Techniquesnoise reductionempirical mode decompositionnoise level

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