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Vibration signal noise reduction method based on variable-step-length LMS-EEMD

A technology of vibration signal and step size, applied in the field of communication, can solve the problems of large noise pollution, complicated operation process, and weak noise reduction ability of head endpoints.

Inactive Publication Date: 2015-06-03
XINJIANG UNIVERSITY
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Problems solved by technology

But for a wider frequency band signal, the noise reduction effect is good and bad [6] , this method is not strong for head endpoint noise reduction
[0004] In the process of realizing the present invention, the inventor found that there are at least defects in the prior art such as complicated operation process, large noise pollution and weak noise reduction ability

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  • Vibration signal noise reduction method based on variable-step-length LMS-EEMD
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  • Vibration signal noise reduction method based on variable-step-length LMS-EEMD

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Embodiment Construction

[0074] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0075] According to an embodiment of the present invention, such as Figure 1-Figure 11 As shown, a vibration signal denoising method based on variable step size LMS-EEMD is provided.

[0076] The technical scheme of the present invention is aimed at the denoising problem of the vibration signal under the low signal-to-noise ratio situation, according to the least mean square algorithm (LMS) and ensemble empirical mode decomposition (EEMD) which are characterized by self-adaptation, have achieved a certain degree of progress in their respective fields , so a new adaptive denoising method is proposed, which is based on the variable step size LMS-EEMD adaptive filteri...

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Abstract

The invention discloses a vibration signal noise reduction method based on variable-step-length LMS-EEMD. The method includes: acquiring an initial noise reduction signal according to an original signal; decomposing the initial noise reduction signal, and selecting an IMF component needed in noise reduction; acquiring a final noise reduction signal according to the original signal and the selected IMF component. By the method, the defects of complex operation process, high noise pollution and weak noise reduction capability in the prior art can be overcome, and simple operation process, low noise pollution and strong noise reduction capability are achieved.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a vibration signal noise reduction method based on variable step size LMS-EEMD. Background technique [0002] Due to the constraints of various observation conditions and environmental factors, the influence of various noises inevitably exists in the observation data. Especially white noise. What's more, the observed signals existing in complex environments have the characteristic of low signal-to-noise ratio. Therefore, noise reduction is an important task in the data preprocessing stage. [0003] The noise reduction methods commonly used for non-stationary signals are, the method based on wavelet and wavelet packet analysis has multi-scale and multi-resolution characteristics, and the noise reduction of non-stationary signals is better than the traditional filter noise reduction method, but the noise reduction effect of this method is Limited by the selection ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 俞潇吕小毅莫家庆贾振红
Owner XINJIANG UNIVERSITY
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