One of image wavelet thresholding denoising method can be said that many image denoising methods are the best.
其中图像的小波阈值去噪方法可以说是众多图像去噪方法的佼佼者。
参考来源 - 基于小波分析的图像去噪处理Based on the traditional wavelet thresholding de-noising method,a new threshold function is proposed.
在引入小波阈值去噪方法的基础上,提出了一种新的阈值函数。
参考来源 - 小波分析在信号消噪中的应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Translation invariant(TI)wavelet de-noising method is an improved method of wavelet thresholding shrinks; it can suppress Pseudo-Gibbs artifacts effectively.
图像的平移不变量小波去噪法是小波收缩阈值去噪法的改进，能够有效抑制小波阈值去噪过程中出现的伪吉布斯现象。
In theory of estimation with wavelet thresholding, the threshold adapting data can be calculated by minimum estimation of risk to improve the SNR of estimation.
提出了基于多窗谱法和小波阈值法对带噪语音的短时功率谱进行估计的语音增强改进方法。
Wavelet thresholding technology is using the sparse property of wavelet representation and diagonal filter for signal denoising . This method is nearly optimal in many signal spaces.
小波阈值降噪技术利用小波变换表示信号的稀疏性质，使用对角形式的阈值滤波器达到信号降噪的目的，这个方法在很多信号空间上是近似最优的。
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