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Signal denoising method based on local mean value decomposition

A local mean value decomposition and base signal technology, which is applied in the field of signal processing, can solve the problems affecting the signal denoising performance and poor denoising effect of EMD base method, and achieve the advantages of denoising effect, good effect and good comprehensive performance. Effect

Inactive Publication Date: 2014-08-13
ZHEJIANG NORMAL UNIVERSITY
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Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to provide a signal denoising method based on local mean decomposition, which aims to solve the problem that the traditional signal denoising method has its own defects, which affect the signal denoising performance and poor denoising effect of the EMD-based method

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  • Signal denoising method based on local mean value decomposition

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Embodiment Construction

[0029] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0030] The application principle of the present invention will be further described below with reference to the drawings and specific embodiments.

[0031] Such as figure 1 As shown, a signal denoising method based on local mean decomposition, the method steps include performing local mean decomposition S101 on the noisy signal, filtering the obtained product function (PF) component S102, and reconstructing the real Source signal to realize noise cancellation S103, compare with simulation experiment S104, verify the effectiveness of LMD base signal denoising method S105;

[0032] The implementation of local mean decompos...

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Abstract

The invention discloses a signal denoising method based on local mean value decomposition. The method comprises the steps that the local mean value decomposition is carried out on a noisy signal, amplitude thresholding filtering processing is carried out on the obtained product function (PF) component, and a real source signal is reconstructed, so that noises are omitted, comparison is carried out by means of a simulation experiment, and the effectiveness of an LMD-based signal denoising method is verified by a practical signal noise elimination experiment. According to the method, the noise jamming in observed signals is eliminated, the effectiveness of the LMD-based signal denoising method is verified by virtue of a series of simulation and experiments and through the comparison with the existing wavelet transform (WT)-based denoising method and an empirical mode decomposition (EMD)-based denoising method which appears in recent years, the method is simple, the advantages of the denoising effect which utilizes an LMD-based denoising algorithm are obvious, the combination property is better, the secondary exquisite denoising of the noisy signal is realized, and the noise elimination effect is good.

Description

Technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a signal denoising method based on local mean decomposition. Background technique [0002] Signal denoising is a concern in the field of signal processing. Suppose a sensor observation signal x(n) contains the real source signal s(n) and noise component u(n), if x(n) = s(n) + u(n), then it is called x(n) It contains additive noise; if x(n) = s(n)u(n), then u(n) is called multiplicative noise. In most cases, noise is additive, and multiplicative noise processing is usually difficult and requires special processing technology. The noise referred to in this patent is additive. [0003] There are many signal denoising methods, such as the traditional time-domain averaging method and wavelet transform (WT) method. The time-domain averaging method assumes that the source signal s(n) is a deterministic signal, and averages a large number of observation samples to offse...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 焦卫东吴江妙林树森王晓燕毛剑翁孟超
Owner ZHEJIANG NORMAL UNIVERSITY
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