Fully Decomposable Compressive Sampling With Joint Optimization for Multidimensional Sparse Representation.

IEEE Transactions on Signal Processing(2018)

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摘要
Conventional compressive sampling methods cannot efficiently exploit structured sparsity for sampling multidimensional signals like video sequences. In this paper, we propose a fully decomposable compressive sampling model that adopts the Kronecker product framework to exploit the structured sparsity spanning multidimensional signals. It enables efficient sampling in a progressive fashion by retai...
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关键词
Sensors,Matrix decomposition,Optimization,Coherence,Wavelet transforms,Compressed sensing,Tensile stress
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