Laser spectrum noise reduction method and device based on deep learning optimization S-G filtering

Abstract

The invention discloses a laser spectrum noise reduction method and a laser spectrum noise reduction device based on deep learning optimization S-G filtering, and belongs to the field of laser spectrums. The laser spectrum noise reduction method comprises the following steps of: collecting absorption spectrum data by adopting a gas laser absorption spectrum experimental device based on a QCL quantum cascade laser or other tunable laser sources, and acquiring the absorption spectrum data of a gas to be detected as an Adam algorithm neural network training sample; establishing an Adam algorithmneural network topology model according to the spectral data training sample, and selecting an optimal filtering parameter combination; adopting an S-G filtering algorithm to carry out adaptive filtering according to the optimized filtering parameters; correcting filtering values by using the constructed Adam algorithm neural network; and performing noise reduction processing on the spectral dataaccording to the optimized S-G filtering algorithm. According to the laser spectrum noise reduction method based on deep learning optimization S-G filtering provided by the invention, a signal-to-noise ratio of spectrum filtering can be improved, so that the absorption spectral line measurement of gas becomes more accurate.

Description

technical field [0001] The invention relates to the technical field of laser spectroscopy, in particular to a method and device for reducing noise in laser spectroscopy based on deep learning optimization of S-G (Savitzky-Golay) filtering. Background technique [0002] With the rapid development of modern laser technology, laser spectrum measurement technology has become a research hotspot at home and abroad as the frontier of spectroscopy research. Laser spectroscopy is a spectral technology using laser light as a light source. Compared with ordinary light sources, laser light sources have the characteristics of good monochromaticity, high brightness, strong directionality, and strong coherence. It is an ideal light source for studying the interaction between light and matter. . The emergence of laser has greatly improved the sensitivity and resolution of the original spectroscopy technology. Laser spectroscopy has become a technical field closely related to chemistry, ph...

AI Technical Summary

Problems solved by technology

[0003] The S-G filter proposed by Savitzky and Golay is simple and convenient to calculate and only depends on the two parameters of the order value and the window size. It is widely used in the acquisition and processing of near-infrared spectral data. Finding the balance between insufficient and excessive filtering is a major problem of the filtering algorithm

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