TITLE:
Singular Value Noise Reduction Method for Full-Spectrum Input Gamma Energy Spectrum
AUTHORS:
Quan Yuan, Guangming Dai, Dashun Yan, Zhiquan Zhou
KEYWORDS:
Noise Reduction, Gamma-Ray Spectrometry, Spectral Smoothing, NASVD
JOURNAL NAME:
Open Access Library Journal,
Vol.9 No.9,
August
30,
2022
ABSTRACT: The traditional smoothing method is complicated to use when the number of road sites is large, and multiple smoothing is required in the case of large noise, aiming at this problem, this paper uses the singular value decomposition denoising method to smooth the gamma energy spectrum. This paper expounds the basic principle of the singular value decomposition method, and the mathematical models of different reconstruction matrices and compares the effects of different reconstruction matrices on full-spectrum noise reduction. The results show that the signal-to-noise ratio is improved by 4.27% compared with the traditional method after the singular value decomposition, selection, reconstruction and reduction after using the Hankel matrix for energy spectrum allosteric.