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Excluding Noise from Short Krylov Subspace Approximations to the Truncated Singular Value Decomposition (SVD).

机译：从短Krylov子空间近似到截断奇异值分解（sVD）的噪声排除。

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作者
Breuer, A.;
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年度 2017
页码 1-32
总页数 32
原文格式 PDF
正文语种 eng
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入库时间 2022-08-29 10:46:11

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1. Limited memory block krylov subspace optimization for computing dominant singular value decompositions [J] . Liu X., Wen Z., Zhang Y. SIAM Journal on Scientific Computing . 2013,第3期

机译：计算显性奇异值分解的有限内存块Krylov子空间优化
2. Modified truncated randomized singular value decomposition (MTRSVD) algorithms for large scale discrete ill-posed problems with general-form regularization [J] . Jia Zhongxiao, Yang Yanfei Inverse Problems: An International Journal of Inverse Problems, Inverse Methods and Computerised Inversion of Data . 2018,第5期

机译：修改截断的随机奇异值分解（MTRSVD）算法，用于大规模离散的常规规则化的大规模离散问题
3. A priori error bounds on invariant subspace approximations by block Krylov subspaces [J] . Robbe M., Sadkane M. Linear Algebra and its Applications . 2002,第0期

机译：块Krylov子空间对不变子空间逼近的先验误差界
4. ROBUST RECURSIVE BI-ITERATION SINGULAR VALUE DECOMPOSITION (SVD) FOR SUBSPACE TRACKMG AND ADAPTIVE FILTERING [C] . Y. Wen, S. C. Chan, K. L. Ho IEEE International Symposium on Circuits and Systems . 2003

机译：稳健的递归双迭代奇异值分解（SVD）用于子空间轨迹和自适应滤波
5. Truncated Singular Value Decomposition Approximation for Structured Matrices via Kronecker Product Summation Decomposition [D] . Garvey, Clarissa Catherine. 2018

机译：通过Kronecker乘积求和分解对结构矩阵进行截断的奇异值分解
6. A Modified Higher-Order Singular Value Decomposition Framework With Adaptive Multilinear Tensor Rank Approximation for Three-Dimensional Magnetic Resonance Rician Noise Removal [O] . Li Wang, Di Xiao, Wen S. Hou, 2020

机译：一种改进的高阶奇异值分解框架具有自适应多线性张量级逼近的三维磁共振rician噪声噪声
7. Regularization properties of Krylov iterative solvers CGME and LSMR for linear discrete ill-posed problems with an application to truncated randomized SVDs [O] . Zhongxiao Jia 2020

机译：Krylov迭代求解器CGME和LSMR的正则化属性与应用程序截断随机SVDS的线性离散不良问题

Excluding Noise from Short Krylov Subspace Approximations to the Truncated Singular Value Decomposition (SVD).

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