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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Low Rank Matrix Recovery for Seismic Data Analysis and Blind Superresolution
地震数据分析 盲超分辨率 低秩 矩阵恢复
2023/2/27
Low rank matrix recovery is about reconstructing a low rank matrix from incomplete measurements. It arises frequently in many research areas of science and engineering, for example, machine learning, ...
Adjoints and low-rank covariance representation
Adjoints low-rank covariance representation
2009/11/12
Quantitative measures of the uncertainty of Earth system estimates can be as important as the estimates themselves. Direct calculation of second moments of estimation errors, as described by the covar...
A comparison of assimilation results from the ensemble Kalman Filter and a reduced-rank extended Kalman Filter
assimilation results ensemble Kalman Filter reduced-rank extended Kalman Filter
2009/11/12
The goal of this study is to compare the performances of the ensemble Kalman filter and a reduced-rank extended Kalman filter when applied to different dynamic regimes. Data assimilation experiments a...