Denoising method and system for electromagnetic time sequence data
The invention relates to an electromagnetic time series data processing method and system. The method comprises the following steps: acquiring original electromagnetic time sequence data, and representing an electromagnetic time sequence as a one-dimensional time sequence; constructing the represent...
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Main Authors | , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
25.03.2022
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Subjects | |
Online Access | Get full text |
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Summary: | The invention relates to an electromagnetic time series data processing method and system. The method comprises the following steps: acquiring original electromagnetic time sequence data, and representing an electromagnetic time sequence as a one-dimensional time sequence; constructing the represented one-dimensional time sequence into a Hankel matrix, performing SVD decomposition on the matrix, and determining dimensions of the Hankel matrix according to a singular value ratio; decomposing the one-dimensional time sequence into an approximate time sequence and a detail time sequence with different resolutions according to the matrix dimension and the multi-scale sample entropy; then adaptively decomposing the superposed detail time sequence into a plurality of modal components by using an ICEEMDAN algorithm, constructing an instantaneous modal component threshold, identifying an abnormal part in the modal components, and carrying out truncation processing; according to the technical means provided by the inv |
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Bibliography: | Application Number: CN202210173887 |