@ARTICLE{8106806, 
author={W. {Dai} and Y. {Li} and J. {Zou} and H. {Xiong} and Y. F. {Zheng}}, 
journal={IEEE Transactions on Signal Processing}, 
title={Fully Decomposable Compressive Sampling With Joint Optimization for Multidimensional Sparse Representation}, 
year={2018}, 
volume={66}, 
number={3}, 
pages={603-616}, 
keywords={compressed sensing;matrix algebra;signal representation;signal sampling;motion trajectory;temporal sparsity;video acquisition;enhanced convergence rate;mutual coherence separable minimization;block-diagonal feature;video sequences;multidimensional signal sampling;sampling rate allocation;synthetic sensing matrix;Kronecker product framework;fully decomposable compressive sampling model;structured sparsity;conventional compressive sampling methods;multidimensional sparse representation;Sensors;Matrix decomposition;Optimization;Coherence;Wavelet transforms;Compressed sensing;Tensile stress;Sparse representation;matrix optimization;compressive video sampling;video acquisition}, 
doi={10.1109/TSP.2017.2773427}, 
ISSN={1053-587X}, 
month={Feb},}