A method for improving wavelet threshold denoising in laser-induced breakdown spectroscopy
作者： Bo Zhang , Lanxiang Sun , Haibin Yu , Yong Xin , Zhibo Cong
DOI: 10.1016/J.SAB.2015.02.015
关键词:
摘要: The wavelet threshold denoising method is an effective noise suppression approach for noisy laser-induced breakdown spectroscopy signal. In this paper, firstly, the sources of LIBS system are summarized. Secondly, multi-resolution analysis and introduced briefly. As one major factors influencing results in process denoising, optimal decomposition level selection studied. Based on entropy signal noise, a choosing presented. Thirdly, performance proposed verified by analyzing some synthetic signals. Not only signals analyzed, but also ultimate capacity with explored. Finally, experimental data implies that fluctuation can be decreased weak recovered. able to improve obtained non-optimal functions. ratios elements improved limit detection values reduced more than 50% using method.
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