A de-noising algorithm to improve SNR of segmented gamma scanner for spectrum analysis

An improved threshold shift-invariant wavelet transform de-noising algorithm for high-resolution gamma-ray spectroscopy is proposed to optimize the threshold function of wavelet transforms and reduce signal resulting from pseudo-Gibbs artificial fluctuations. This algorithm was applied to a segmente...

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Bibliographic Details
Published in:	Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment Vol. 818; pp. 68 - 75
Main Authors:	Li, Huailiang, Tuo, Xianguo, Shi, Rui, Zhang, Jinzhao, Henderson, Mark Julian, Courtois, Jérémie, Yan, Minhao
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 11.05.2016
Subjects:	Algorithms De-noising Detectors Quantitative analysis Scanning Shift-invariant wavelet transform Spectrum analysis Thresholds Wave attenuation Wavelet transforms γ-spectrum analysis DWT De-noising CWT AC FOM Shift-invariant wavelet transform RMSE S-I WT ABS γ-spectrum analysis SNR HRGS WT SGS
ISSN:	0168-9002, 1872-9576
Online Access:	Get full text
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