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Denoising method of noisy infrared spectral signal

A technology of infrared spectrum and signal, which is applied in the denoising field of noise-stained infrared spectrum signal, can solve the problems of white noise pollution, low signal-to-noise ratio, etc., and achieve the best noise reduction effect and better noise reduction effect

Active Publication Date: 2016-01-20
THE FIRST TEACHING HOSPITAL OF XINJIANG MEDICAL UNIVERCITY
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Problems solved by technology

After a non-stationary signal is decomposed by EEMD, several stationary intrinsic mode functions (IMFs) can be obtained. The IMF obtained by this method effectively overcomes the problem of mode aliasing in EMD decomposition, but encounters low signal-to-noise ratio signals , under the influence of abnormal events, the high-frequency eigenmode function of the noise-stained signal decomposed by EEMD has different degrees of white noise pollution

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  • Denoising method of noisy infrared spectral signal
  • Denoising method of noisy infrared spectral signal
  • Denoising method of noisy infrared spectral signal

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Embodiment 1

[0033] Embodiment 1: The denoising method of the noise-stained infrared spectrum signal is carried out according to the following steps: the first step is to obtain after empirical mode (EMD) decomposition of the noise-stained infrared spectrum signal after adding Gaussian white noise j Intrinsic Mode Components (IMFs), j is a natural number, the j The weighted average eigenmode components and residuals are obtained after the weighted average of the eigenmode components; the second step is to reconstruct the signal of the noise-stained infrared spectrum signal to obtain the reconstructed signal; the third step is to input the reconstructed signal Variable step size least mean square adaptive filter (VS-LMS), in the variable step size least mean square adaptive filter, initialize the weight, set the initial value of the step size factor, set the order and set The number of runs, the variable step size least mean square adaptive filter updates the step size factor during the ru...

Embodiment 2

[0034] Embodiment 2: the difference with the foregoing embodiment is that in the first step, several Gaussian white noises with a mean value of 0 and a standard deviation that are constant are added to the noise-stained infrared spectrum signal, and the Gaussian white noise is used express, i is a natural number, used to dye and noise infrared spectrum signal Indicates that the noise-stained infrared spectrum signal with Gaussian white noise is used express, , after empirical mode decomposition of the noise-stained infrared spectrum signal added with Gaussian white noise, we get j eigenmode components, the eigenmode components use Indicates that, using the property that the uncorrelated random sequence has a statistical mean of 0, the jThe weighted average operation of eigenmode components eliminates the noisy eigenmode components. After the weighted average operation, the weighted average eigenmode components and residuals are obtained. The weighted average eigenmode...

Embodiment 3

[0035] Embodiment 3: The difference with the above-mentioned embodiment is that in the second step, the reconstructed signal is obtained after performing signal reconstruction on the noise-stained infrared spectrum signal, and the reconstructed signal is used express, , In order to obtain the first experimental mode decomposition of the noise-stained infrared spectrum signal after adding Gaussian white noise j eigenmode components.

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Abstract

The invention relates to the technical field of denoising methods of a noisy infrared spectral signal and provides a denoising method of the noisy infrared spectral signal. The method comprises the following steps of: firstly carrying out experience modal decomposition on the noisy infrared spectral signal into which Gauss white noise is added, then obtaining j intrinsic modal components, carrying out weighted averaging on the j intrinsic modal components, and then obtaining weighted average intrinsic modal components and residues; and secondly carrying out signal reconstruction on the noisy infrared spectral signal, and then obtaining a reconstructed signal. The denoising method has a better denosing effect on the noisy infrared spectral signal, and the noisy infrared spectral signal denoised by the denoising method is closer to a non-noisy infrared spectral signal, so that a better basis is provided for the diagnosis and treatment of diseases such as breast cancer.

Description

technical field [0001] The invention relates to the technical field of denoising methods for infrared spectrum signals, and relates to a denoising method for noise-stained infrared spectrum signals. Background technique [0002] Spectral detection technology is a new technology for diagnosing breast cancer. Infrared spectroscopy is widely used as a fast, simple and non-destructive qualitative and quantitative analysis method. The measured infrared spectrum often contains a lot of interference information (noise signal, etc.), and the noise mainly comes from three aspects: detector noise, electronic circuit noise and environmental noise. Therefore, noise reduction is extremely important in spectral analysis and processing. [0003] At present, the commonly used noise reduction methods mainly include wavelet, empirical mode decomposition (EMD) and EEMD, etc. Among them, the noise reduction method based on wavelet transform requires prior knowledge, that is, the selection of w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G01N21/35
Inventor 吕国栋吕小毅莫家庆刘辉付明刚温浩林仁勇卢晓梅
Owner THE FIRST TEACHING HOSPITAL OF XINJIANG MEDICAL UNIVERCITY
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