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- Then an improved method, namely translation invariant de noising was proposed. 在此基础上 ,探讨了对传统的阈值方法的改进 ,即平移不变小波变换去噪法。
- We give a property of the invariant subspace, and generalize the theorem 1 in [1] on the base of the property. 摘要给出了不变子空间的一个性质。应用此性质推广了文[1]中的定理1，并给出了几个推论。
- In this paper, we discuss a new class of M-paranormal operators and give the properties of these operators. Further, we also give an existence condition of the invariant subspace. 讨论了一个新的算子类:M-仿正规算子。给出了这一类算子的部分性质及不变子空间存在的条件。
- The influence on the effects of image de-noising and Compute complexity is discussed by altering the value of translation Invariant. 着重探讨平移不变小波去噪方法中平移量的选取对去噪效果以及计算复杂度的影响。
- In this paper, based on the invariant subspace theory and adjoint operator concept of linear operator, a new matrix representation method is proposed to calculate the normal forms of n order general nonlinear dynamic systems. 对于 n阶一般的非线性动力系统 ,根据线性算子的不变子空间理论和共轭算子概念 ,提出一种计算其规范形的新的矩阵表示方法。
- We design a new feature extraction method that generates rotation and translation invariant features and use the Procrustes algorithm to find the key substructures which are denoted by radicals. 摘要:蛋白质结构的分析及排列是一个在生物学及医学上有著重要的应用而受到广泛大众重视的研究领域。
- Invariant Subspace of a Fuzzy Vector Space 模糊向量空间的不变子空间
- maximal positive invariant subspace 极大正定定不变子空间
- One of the most important, most difficult, and most exasperating unsolved problems of operator theory is the problem of invariant subspaces. 算子理论中最重要、最困难也最令人烦恼的未解决问题之一就是不变子空间问题。
- The cheapest way to get one is to invoke the spectral theorem and to conclude that normal operators always have non-trivial invariant subspaces. 取得这样结果的最省力的尝试是引用光谱定理而得到正规算子恒有非平凡不变子空间的结论。
- The Translation Invariant Random Cluster Measures 平移不变的随机串测度
- Translation invariant random cluster measure 平移不变的随机串测度
- translation invariant discrete wavelet transform 平移不变离散小波变换
- translation invariant wavelet packet 平移不变小波包
- In order to solve this problem,we introduce translation invariance for wavelet based de-noise technology in this paper. 为消除此类影响,文中将平移不变小波变换的念引入到小波图象降噪应用中。
- In this paper,a translation invariance wavelet transform is applied to image denoise. 文中主要研究平移不变小波变换在图象降噪中的应用。
- translation invariant wavelet transform 平移不变量小波变换
- Invariant Subspace and Cyclic Vector of Diagonal Operators 对角算子的不变子空间和循环向量
- By utilizing Curvelet de-noising algorithm based on translation invariance, better MSE compared with traditional methods can be obtained. 通过平移不变的曲波萎缩算法，可获得比传统去噪方法更好的均方误差（MSE）。
- Direct decomposition of invariant subspace and its application 不变子空间的直和分解及应用
