Fully Decomposable Compressive Sampling With Joint Optimization for Multidimensional Sparse Representation.
IEEE Transactions on Signal Processing(2018)
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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