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首页> 外文期刊>Journal of computational and theoretical nanoscience >Research on Communication Signal Noise-Reduction Based on the Improved Wavelet Multi-Scale Decomposition
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Research on Communication Signal Noise-Reduction Based on the Improved Wavelet Multi-Scale Decomposition

机译:基于改进小波多尺度分解的通信信号降噪研究

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In order to reduce communication signal noise better, the paper uses improved wavelet transform multi-scale decomposition method to carry out decomposition analysis on communication signal. First analyze the basic theory of one dimension and two dimensions, then carry out multi-scaledecomposition on improved wavelet transformation, high frequency and component decomposition, selectively filter the noise, explain two threshold determination methods of wavelet noise reduction, finally carry out the example simulation, carry out simulation analysis on original signal withdifferent noise ratio and noise reduction performance with different threshold determination method. Experiment shows that the signal has high noise ratio, small equal square error after using this method to reduce, which has certain applied value.
机译:为了更好地降低通信信号噪声,纸张采用改进的小波变换多尺度分解方法对通信信号进行分解分析。 首先分析一个维度和两个维度的基本理论,然后对改进的小波变换进行多级分解,高频和分量分解,选择性地滤清噪声,解释两个阈值确定小波降噪方法,最后执行示例模拟 ,对不同阈值确定方法进行原始信号的仿真分析及降噪性能。 实验表明,使用这种方法减少后,信号具有高噪音比,较小的平方误差,这具有特定的应用值。

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