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Method and device for denoising near infrared spectrum by wavelet mid-value

A near-infrared spectrum and wavelet threshold denoising technology, which is applied in the field of near-infrared spectrum signal preprocessing, can solve the problem that pulse noise cannot be filtered well, and achieve the effects of filtering pulse noise, improving robustness, and improving signal-to-noise ratio

Active Publication Date: 2014-09-03
CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI
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Problems solved by technology

[0004] In order to overcome the deficiency that the pulse noise cannot be filtered well in wavelet threshold denoising, the present invention proposes a wavelet median near-infrared spectrum denoising method and device

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  • Method and device for denoising near infrared spectrum by wavelet mid-value

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Embodiment Construction

[0022] The present invention uses the upper and lower thresholds to select the wavelet coefficients of easily distinguishable signals and noises, and then uses correlation denoising for the difficultly distinguishable wavelet coefficients; calculates the variance of the extreme point of the spectrum after wavelet denoising, and the variance is greater than that of the left and right neighbors. The domain variance is the impulse noise for median filtering, and the value smaller than the neighborhood variance is the useful signal. After the above processing, the signal-to-noise ratio of the spectrum can be improved, and the robustness of the model can be improved.

[0023] As a first aspect of the invention, please refer to figure 1 , provides a wavelet median near-infrared spectrum denoising method, including:

[0024] Step 1, performing wavelet transform on the spectral signal, so as to obtain the wavelet coefficients of each layer;

[0025] Step 2, performing wavelet thresh...

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Abstract

The invention relates to a method and device for denoising near infrared spectrum by wavelet mid-value. The method comprises the following steps: 1, performing wavelet transform on a spectrum signal to obtain the wavelet coefficient of each layer; 2, performing wavelet threshold denoising on a near infrared spectrum according to set upper and lower thresholds; 3, reconstructing the denoised wavelet coefficients according to invert wavelet transform; 4, performing extremum median filter on the reconstructed spectrum to obtain the denoised spectrum. According to the method and device, the wavelet coefficient of a signal location can be better maintained by combining the intralayer correlation of wavelet transform; the spectrum signal of the extremum location can be effectively maintained by virtue of the improved extremum medium filter, the pulse noise at the extremum location can be filtered. By means of the processing, the signal to noise ratio can be improved, and the robustness of a model can be improved.

Description

technical field [0001] The invention relates to a near-infrared spectrum signal preprocessing technology, in particular to a wavelet median near-infrared spectrum denoising method and device. Background technique [0002] Near-infrared spectroscopy is a rapidly developing high-tech analysis technology in the field of analytical chemistry. It has the advantages of non-destructive, non-polluting, good analysis reproducibility, and low cost. It is widely used in petrochemical, agricultural, food and other industries. Near-infrared spectroscopy refers to the near-infrared absorption spectrum in the wavelength range of 780nm-2500nm. Near-infrared spectroscopy can effectively reflect the characteristic information of hydrogen-containing groups in organic molecules in samples. Therefore, near-infrared spectroscopy can be used to quantitatively analyze hydrogen-containing atomic groups such as C-H, O-H, and N-H in compounds. [0003] However, there are certain noises in the origina...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/359
Inventor 赵健刘永福何国田徐泽宇林远长朱晓强何骥鸣吴姣娇何瑞英石珍
Owner CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI
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