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1)  vary threshold quantity de-noising de-noising
变阈值消噪
2)  threshold de-noising
阈值消噪
1.
First,it decomposes high frequency twice,and then de-noises the signal by threshold de-noising.
该方法不同于传统阈值消噪方法,首先对语音信号高频部分做了二次分解,然后应用阈值消噪的方法对信号进行消噪处理。
2.
Combining with different threshold selections,we discuss the efficiency of this method in threshold de-noising method,using SNR and MSE as indexes.
结合不同的小波阈值处理方法,用信噪比和最小均方误差为度量指标,探讨了在阈值消噪算法中本文提出的确定“最佳”分解层数算法对消噪的有效性。
3.
Threshold de-noising based on wavelet transform is introduced,in virtue of LabVIEW plate,by simulating test,soft threshold de-noising is compared to hard threshold de-noising,and different wavelet function are selected for de-noising,the validity of threshold de-noising based on wavelet transform is proved in the process of power signal de-noising.
研究基于小波变换的阈值消噪法,借助LabVIEW平台,通过仿真试验,对软阈值和硬阈值消噪及采用不同的小波函数消噪进行了分析。
3)  threshold denoising
阈值消噪
4)  denoising threshold
消噪阈值
1.
The best wavelet packet basis (BWPB) and the denoising threshold are the two key problems, which have to be solved when using wavelet prackets for denosing and detection of steam turbine vibration signals.
在利用小波包进行汽轮机振动信号的消噪和检测时,最优小波包基和消噪阈值的选取是必须解决的两个关键问题。
5)  wavelet transform threshold de-noising
小波变换阈值消噪
6)  wavelet threshold denoising
小波阈值消噪
1.
Phonic character extraction based on wavelet packet transform and wavelet threshold denoising;
基于小波包变换和小波阈值消噪的语音特征提取
补充资料:消变
1.消除灾异或变异。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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