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基于小波变换的紫外光信号降噪处理 被引量:1

De-Noising of Ultraviolet Light Signal Based on Wavelet Transform
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摘要 介绍了小波变换的基本理论以及利用小波变换进行信号处理的方法和步骤。选择db8小波对紫外光信号进行小波阈值降噪处理。实验结果表明采用小波阈值降噪法能够有效地抑制信号中的噪声,信噪比提高了8.5192dB。 The basic theory of wavelet transform is introduced. The methods and steps of signal processing based on wavelet transform are presented. Daubechies8 wavelet is selected to de-noising the measured ultraviolet signal. The experimental results show that wavelet threshold de-noising is very effective for de-noising the ultraviolet signals. Signal to noise ratio improvement is 8. 519 2 dB.
出处 《光学与光电技术》 2007年第2期69-71,共3页 Optics & Optoelectronic Technology
关键词 小波变换 紫外光信号 小波阈值降噪 信噪比 wavelet transform ultraviolet light signal wavelet threshold de-noising signal to noise ratio
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