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1)  Denoising analysis
去噪分析
2)  wavelet packet analyzing denoising
小波包分析去噪
3)  analysis based on wavelet for denoise
小波分析去噪
1.
In allusion to the character of the wave noise, with contrast to the old way to denoise, the advantage, essence and principle of the analysis based on wavelet for denoise are elaborated in detail.
针对波浪噪声特性 ,通过与传统去噪方式作比较 ,将小波分析去噪的优势、本质及原理进行了一一阐述。
4)  Wavelet denoising analysis
小波去噪分析
5)  spectrum sharing noise elimination
分频去噪
1.
This paper introduces a spectrum sharing noise elimination method of stacked seismic data, which can stack time domain trace with spectrum sharing whiten and consistent correction stack, which can eliminate the residual effect and noise by trace of surface explosion, receiving different, inclined angle and surface so on, and thus improves the resolution and signaltonoise ratio of seismic data.
主要叙述了叠后地震记录分频去噪方法原理。
6)  total variation image denoising
全变分去噪
1.
We mainly study the total variation image denoising using homotopy continuation in this paper.
全变分图像去噪是目前图像去噪的主要方法之一,它的解属于有界变差函数类,允许有不连续点,因此用全变分去噪模型恢复图像能够有效的保持边界,有利于图像的后期处理。
补充资料:噪噪切切
1.犹言嘈嘈切切。指弦乐器上大弦和小弦发出的高低不同的声音。
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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