Distributed Compressed Sensing
DrorBaron等在其名为“DistributedCompressedSensing”指出具有相关信息的多个观测源采用联合重构算法可以获取更好的重构效果，当观测源足够多时，甚至只需要K+1观测次数就可以完全重构出原信号。文献中提出了两种算法OSGA（One-StepGreedyAlgorithm）和SOMP（SimultaneousOrthogonalMatchingPursuit）。
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