Raman spectrum data de-noising method based on five-spot cubic smoothing algorithm
A 5.3-cubic smoothing and Raman spectrum technology, applied in Raman scattering, computing, computer components, etc., can solve the problems of low cost, high cost of improvement, large difference between signal frequency and noise frequency, etc., to ensure Effects of smoothness, improved analysis accuracy, and improved signal-to-noise ratio
Inactive Publication Date: 2018-12-18
CHONGQING UNIV +1
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Problems solved by technology
At this stage, the improvement cost of the Raman spectroscopy detection system is very high and the random noise caused by the influence of the system itself cannot be completely eliminated. The data preprocessing algorithm has a good effect and the cost is low
The commonly used method is mainly based on the time-frequency localization characteristics of wavelet, and decomposes the signal into high-frequency and low-frequency parts
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[0027] In order to better illustrate the effect achieved by the present invention, the noise reduction processing method for Raman spectral data by the five-point cubic smoothing algorithm will be further described below in conjunction with examples.
[0028] According to the collected actual operating transformer oil samples, the original Raman spectrum data of transformer oil were obtained on the laser Raman spectrum detection platform equipped with the State Key Laboratory of Power Transmission and Distribution Equipment and System Safety and New Technology of Chongqing University. Due to the fluctuation of the laser, the change of the detection environment and the interference of the sample itself, the Raman signal of the transformer oil has a jagged noise signal, which affects the accuracy of the spectral data analysis. In order to eliminate or reduce the influence of the noise, the original spectral data needs to be processed Smooth noise reduction processing based on fiv...
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The invention relates to the field of the Raman spectrum detection, and specifically relates to a Raman spectrum data de-noising method based on a five-spot cubic smoothing algorithm. The method comprises the following steps: (1) performing base line removal processing on an acquired actual measurement sample Raman spectrum to obtain an initial spectrum; (2) performing five-spot cubic smoothing onthe initial spectrum obtained in the step (1); (3) performing m-1 times of five-spot cubic smoothing in the step (2) by taking the spectrum data obtained in the step (2) as the initial spectrum, thereby obtaining a final output spectrum, wherein the m is number of iterations, and m is equal to 3 to 5. The random interference error of the Raman spectrum data can be effectively filtered, and the characteristic feature of a to-be-measured component signal is highlighted, thereby ensuring the smoothness of the spectrum data; the signal-to-noise ratio of an original spectrum signal is improved, and the analysis accuracy of the spectrum data can be effectively improved.
Description
technical field [0001] The invention relates to the field of Raman spectrum detection, in particular to a Raman spectrum data noise reduction method based on a five point cubic smoothing algorithm. Background technique [0002] Raman spectroscopy (Raman Spectrum) technology, as a kind of scattering spectrum produced by detecting substances under monochromatic light irradiation, can provide fast, simple, repeatable and non-destructive qualitative and quantitative analysis. In recent years, with the development of laser technology and CCD detection technology, Raman spectroscopy has been widely used in the structure detection and performance analysis of solid and liquid materials. [0003] However, when Raman spectroscopy is used to detect substances, in addition to obtaining the Raman signal containing the analyte, it will also be interfered by factors such as laser fluctuations, changes in the detection environment, and the sample itself. These interference signals include f...
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Login to View More IPC IPC(8): G01N21/65G06K9/00
CPCG01N21/65G01N2201/12G06F2218/04
Inventor 陈伟根李剑王有元万福李晓博范舟杨定坤张荣华
Owner CHONGQING UNIV