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

机译:基于分组数字平均值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:为了提高噪声污染信号的信噪比(SNR)并加速计算速度。首先,在本文中引入了两种传统方法的数字平均和相关性分析,然后提出了一种基于分组数字平均值和相关分析的新的融合算法方法。此外,使用基于MATLAB的数字平均,相关性分析和融合算法的模拟来验证融合算法的可行性。结果表明,基于分组数字平均值和相关分析的融合算法优于数字平均方法和相同输入SNR的计算速度和降噪效果中的数字平均方法和相关分析方法。

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