# On Collaborative Compressive Sensing Systems: The Framework, Design and Algorithm

@article{Zhu2018OnCC, title={On Collaborative Compressive Sensing Systems: The Framework, Design and Algorithm}, author={Zhihui Zhu and Gang Li and Jiajun Ding and Qiuwei Li and Xiongxiong He}, journal={SIAM J. Imaging Sci.}, year={2018}, volume={11}, pages={1717-1758} }

We propose a collaborative compressive sensing (CCS) framework consisting of a bank of $K$ compressive sensing (CS) systems that share the same sensing matrix but have different sparsifying dictionaries. This CCS system is guaranteed to yield better performance than each individual CS system in a statistical sense, while with the parallel computing strategy, it requires the same time as that needed for each individual CS system to conduct compression and signal recovery. We then provide an… Expand

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