ridgelet

ridgelet的基本解释

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脊波

与ridgelet相关的网络例句 [注：此内容来源于网络，仅供参考]

In this paper, a new image de-noising method is proposed by using the threshold method based on nonparametric adaptive estimation which is presented by Birge-Massart in Ridgelet domain.

该文在有限Ridgelet域中，结合Birge-Massart等提出的非参数自适应估计理论，提出一种新的二维图像去噪方法。

One kind of Modified Orthonormal Finite Ridgelet Transform was brought forward.

提出了一种改进型正交有限脊波分析的图像去噪算法。

The third chapter in the paper, the ridgelet transform based image fusion is presented.

论文第三章介绍了基于脊波变换的图像融合方法。

At last, a new shift-invariant de-noising method using finite ridgelet transform is proposed in this article.

最后在该算法的基础上提出了一种基于FRIT变换的平移不变去噪算法。

Since ridgelet is proposed,the problem is solved well.

随着脊波的出现，这个问题便得到了很好的解决。

与ridgelet相关的网络解释 [注：此内容来源于网络，仅供参考]

Adaptive continuous ridgelet network：自适应连续脊波网络

第五章 自适应连续脊波网络 Adaptive continuous Ridgelet network | 5.3 自适应连续脊波网络Adaptive continuous ridgelet network | 5.4 收敛性能分析 Analysis of convergence

Adaptive continuous ridgelet network：第五章 自适应连续脊波网络

本章参考文献 References | 第五章 自适应连续脊波网络 Adaptive continuous Ridgelet network | 5.3 自适应连续脊波网络Adaptive continuous ridgelet network

Current achievements in Ridgelet：脊波现有的成果

2.3 脊波的发展现状及应用前景 Advances and perspective in Ridgelet | 2.3.1 脊波现有的成果 Current achievements in Ridgelet | 2.3.2 连续和离散脊波变换 Continuous and discrete Ridgelet transform

Continuous and discrete Ridgelet transform：连续和离散脊波变换

2.3.1 脊波现有的成果 Current achievements in Ridgelet | 2.3.2 连续和离散脊波变换 Continuous and discrete Ridgelet transform | 2.4 存在的问题和进一步研究的方向 Questions and prospects

Ridgelet and monoscale Ridgelet transform：脊波及单尺度脊波变换

1.5 多尺度几何变换 Multiscale geometric transform | 1.5.1 脊波及单尺度脊波变换 Ridgelet and monoscale Ridgelet transform | 1.5.2 曲线波 Curvelet