| 一种新的多小波自适应阈值降噪方法研究 |
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| 引用本文： | 邱爱中,邱大为,郝华辉.一种新的多小波自适应阈值降噪方法研究[J].河南科学,2013(11):1903-1906. |
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| 作者姓名： | 邱爱中 邱大为 郝华辉 |
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| 作者单位： | [1]郑州师范学院,郑州450044 [2]中国科学技术大学,合肥230000 [3]方城教师进修学校,河南方城473200 |
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| 基金项目： | 河南省科技厅基础与前沿技术研究项目（132300410361）;河南省教育厅资助课题（2013-JSJYYB-140） |
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| 摘 要： | 为了能更好恢复强噪声中的微弱信号，提出一种多小波的自适应阈值降噪方法。该法首先将多小波引入降噪，克服传统单小波的不足，可以匹配信号中不同的特征信息；其次，在传统软、硬阈值降噪方法的基础上，提出了一种自适应阈值算法，克服每一级尺度上都采用同一阈值的缺点。将本方法和多小波软阈值法、D4小波自适应阈值法进行降噪对比实验，显示该方法不仅有效消除了信号噪声，尤其重要的是更好地保留了原有用信号的信息特征。
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| 关 键 词： | 多小波 信号降噪 小波阈值 自适应阈值 信号特征提取 |
The Study on Denoising Based on Multiwavelet and Adaptive Threshold |
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| Qiu Aizhong,Qiu Dawei,Hao Huahui.The Study on Denoising Based on Multiwavelet and Adaptive Threshold[J].Henan Science,2013(11):1903-1906. |
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| Authors: | Qiu Aizhong Qiu Dawei Hao Huahui |
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| Institution: | 1. Zhengzhou Normal University, Zhengzhou 450044, China; 2. University of Science and Technology of China, Hefei 230000, China; 3. Fangeheng Teachers＇ School, Fangeheng 473200, Henan China) |
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| Abstract: | In order to extract week singnals from strong noise,a new method of denoising based on multiwavelet and adaptive threshold is proposed. Firstly,the multiwavelets are introduced to overcome the shortcoming of the single wavelet,and match different characteristics of signals. Moreover,an improved method composed of adaptive threshold is presented. The comparison experiments were done with the method of multiwavelets soft threshold, D4 wavelet adaptive threshold. The results indicate that this method can not only improve the signal-to-noise ratio of the rebuilt signal,but also extract the feature submerged in a heavy noise. |
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| Keywords: | multiwavelets signal denoising wavelet threshold adaptive threshold extracting signal features |
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