| 摘要: |
| 论述了小波变换的一般理论和小波变换在信号降噪中的应用，比较了不同小波基、阈值和分解层数下的小波降噪结果.并在matab平台上仿真实现，利用信号噪声比（SNR）和均方根误差（RMSE）这2个评价指标评价小波降噪的效果.实验结果表明，小波变换在信号降噪中能取得较好的结果. |
| 关键词: 小波变换 降噪 阈值 matlab |
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| 基金项目:湖南省科技厅重点项目(2013TT1007) |
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| Wavelet signal denoising technique based on matlab |
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| Abstract: |
| The general theory of wavelet transform and the application of wavelet transform in signal de-noising were discussed. Different wavelet de-noising results with different wavelet bases，thresholds and decomposition level were compared . Matlab was used to carry out the simu1ation. Signal to noise ratio (SNR) and root mean square error (RMSE) were used to evaluate the effect of wavelet de-noising. Experimental results show that, the wavelet transform obtain better results in signal de-noising. |
| Key words: wavelet transform de-noising threshold matlab |
