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Spectral data trend removal method based on Fourier transform and wavelet analysis

A Fourier transform and spectral data technology, applied in the field of spectral data trend removal based on Fourier transform and wavelet analysis, to achieve the effect of fewer spectral data points, reduced algorithm complexity, and excellent effect

Pending Publication Date: 2019-04-12
南京艾伊科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The purpose of the present invention is to solve the problem of removing the slow changing trend of the ultraviolet spectrum, thereby providing a method for removing the trend of spectral data based on Fourier transform and wavelet analysis, which can not only remove the slow changing trend of the spectrum and spectral noise, but also It can reduce the amount of calculation and improve the accuracy of removing the slow changing trend of the spectrum

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  • Spectral data trend removal method based on Fourier transform and wavelet analysis
  • Spectral data trend removal method based on Fourier transform and wavelet analysis
  • Spectral data trend removal method based on Fourier transform and wavelet analysis

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Embodiment 1

[0025] A method for removing the trend of spectral data based on Fourier transform and wavelet analysis, comprising the following steps:

[0026] (1) Taking NO as an example, intercept the spectral data within the NO absorption wavelength range, where the number of data is the power of 2, and then use MATLAB to perform Fourier transform simulation on the spectral data to determine the wavelet decomposition layer number to obtain the absorption frequency range of the gas to be measured; it should be noted that it is not necessary to perform Fourier transform every time when the detected gas does not change. The result is as follows figure 1 As shown, it can be seen from the figure that the absorption of NO is mainly in the low frequency region (3-7), and the lower frequency signal is mainly the slow change trend of the spectrum;

[0027] (2) Determine the number of wavelet decomposition layers according to the absorption frequency range, and use MATLAB for simulation. According...

Embodiment 2

[0030] to SO 2 As an example, its method is the same as that of embodiment 1, and the specific number of decomposition layers and reconstruction coefficients are carried out according to the actual situation, and it is obtained as follows image 3 In the results shown, the dotted line in the figure is unprocessed, and the solid line is the effect after processing by the method of the present invention. It can be clearly seen from the figure that the slow changing trend of the spectrum is effectively removed.

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Abstract

The invention discloses a spectral data trend removal method based on Fourier transform and wavelet analysis, which comprises the following steps: (1) intercepting spectral data in an absorption wavelength range of gas to be detected, and carrying out Fourier transform on the spectral data to obtain an absorption frequency range of the gas to be detected; (2) determining the number of decomposition layers of the spectral data according to the absorption frequency range, and decomposing the spectral data by utilizing a wavelet analysis method; and (3) reconstructing wavelet decomposition coefficients of different layers, and subtracting part of low-frequency information corresponding to each layer to remove the slow change trend and noise of the spectrum. The method provided by the invention not only can remove the slow change trend and spectrum noise of the spectrum, but also can reduce the calculated amount and improve the accuracy of removing the slow change trend of the spectrum.

Description

technical field [0001] The invention relates to the technical field of spectral data analysis methods for mixed gas ultraviolet analyzers, in particular to a spectral data trend removal method based on Fourier transform and wavelet analysis. Background technique [0002] The gas absorption spectrum collected by the ultraviolet gas analyzer contains not only the absorption information of the gas, but also the spectral scattering, smoke and aerosol absorption and scattering information. The absorption characteristics of gas molecules are mostly shown as fast-changing discrete absorption spectra, while the non-selective absorption such as gas scattering, smoke and aerosol absorption and scattering is shown as slow-changing continuous absorption spectra, so how to accurately convert the spectrum with wavelength Separation of slow-varying continuous absorption and fast-varying discrete absorption, and extracting the characteristic absorption spectrum of the gas to be detected i...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 惠光艳马俊平张东旭
Owner 南京艾伊科技有限公司