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Research on noise reduction algorithm based on packet digital average and correlation analysis

机译:基于分组数字平均和相关分析的降噪算法研究

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In order to improve the signal-to-noise ratio(SNR) of the noise-contaminated signal and speed up the calculation speed. Firstly, digital average and correlation analysis two traditional methods is introduced in this paper, and then a new fusion algorithm method based on packet digital average and correlation analysis is proposed. Furthermore, simulations based on MATLAB of digital average, correlation analysis and fusion algorithm are used to verify the feasibility of fusion algorithm. The results show that fusion algorithm based on packet digital average and correlation analysis is better than digital average method and correlation analysis method in calculation speed and noise reduction effect for the same input SNR.
机译:为了提高被噪声污染的信号的信噪比(SNR)并加快计算速度。首先介绍了数字平均和相关分析两种传统方法,然后提出了一种基于分组数字平均和相关分析的融合算法。此外,利用基于MATLAB的数字平均,相关分析和融合算法进行仿真,验证了融合算法的可行性。结果表明,在相同输入信噪比的情况下,基于分组数字平均和相关性分析的融合算法在计算速度和降噪效果方面均优于数字平均和相关性分析方法。

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