Off-the-Grid Low-Rank Matrix Recovery and Seismic Data Reconstruction.
IEEE Journal of Selected Topics in Signal Processing(2016)
摘要
Matrix sensing problems capitalize on the knowledge that a data matrix of interest exhibits low rank properties. This low dimensional structure often arises because the data matrix is obtained by sampling a smooth function on a regular (or structured) grid. However, in many practical situations the measurements are taken on an irregular grid (that is accurately known). This results in an “unstruct...
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关键词
Sensors,Noise measurement,Interpolation,Discrete Fourier transforms,Periodic structures,Robustness,Compressed sensing
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