This paper proposes using wavelet modulus maxima de-noising method. Image containing noise is took discrete stationary wavelet transform,the noise standard deviation is estimated,changes in the form of Bayes-shrink threshold,and gets de-noising threshold formula.
提出利用小波模极大值进行图像消噪方法,对含噪声图像进行离散平稳小波变换和噪声标准差的估计,在Bayes-shrink阈值计算的基础上,得到消噪的阈值计算公式。
参考来源 - 小波模极大值在图像消噪中的应用An INS signal filtering method and a gravity abnormity filtering method based on stationary wavelet transform are presented.
提出了基于平稳小波变换的光纤陀螺信号滤波方法和重力异常信号滤波方法。
参考来源 - 防区外空面导弹制导系统关键技术研究After studying on principles of three wavelet filtering methods and comparingtheir advantages and disadvantages, a novel filtering method is presented. It includesthree aspects as follows:Firstly, stationary wavelet transform is used in denoising.
在深入研究三种小波滤波方法原理和优缺点的基础上,本文提出了一种新的优化滤波方法,包括以下三个方面:首先,将静态小波变换(SWT)应用于滤波处理。
参考来源 - 基于LabVIEW的优化滤波方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
This paper proposed a method for fabric defects edge detection based on discrete stationary wavelet transform (DSWT) and optimal threshold segmentation algorithm (OTSA).
文章提出了基于离散平稳小波变换和最佳阈值分割算法的织物疵点边缘检测方法。
This paper analyzed the characteristic of noise in hyperspectral data deeply, and puts forward a de-noising method based on stationary discrete wavelet transform (SDWT).
文章深入分析了高光谱遥感数据中噪声的特点，提出了一种基于平稳小波变换的改进小波滤噪算法。
By exploiting wavelet packet transform to analyze signals both in time and frequency space, this paper researches the statistic property of non-Gaussian stationary noise and its signal structure.
该文利用小波包变换的时频局部分析能力，研究了非高斯分布平稳随机噪声的统计特性，揭示了非高斯噪声信号的信号结构。
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