Previous studies mainly concentrated on the wavelet transform domain.
以前的研究主要是集中在小波变换域来进行的。
参考来源 - 基于变换域的数字水印方法研究The wavelet transform in denoising has been achieved some good results.
目前,小波变换技术在去噪方面取得了良好的效果。
参考来源 - 语音编码中的小波去噪算法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The results indicate that the wavelet transform is an effective tool for nonstationary stochastic series analysis, which has great potential in hydrology and water resources research.
研究结果表明，小波变换是分析非平稳随机时间序列的有效工具，在水文水资源领域应用潜力很大。
Based on the wavelet transform and the relation between signal singularity and wavelet transform modular maximum, a noise removal technique is discussed.
在论述了小波分析、信号奇异性与小波变换模极大值性质关系的基础上，本文给出了一种基于小波变换模极大值的信号去噪算法。
Scattering from three-dimensional cavities is solved using the wavelet-MoM method, while the moment matrix is sparsified with help of the wavelet transform.
该文采用小波矩量法求解导电平面上的三维腔体散射，利用小波变换稀疏化矩量矩阵，加速其求逆，减少了腔体散射的总体计算时间。
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