The Benefits of Diversity: Permutation Recovery in Unlabeled Sensing From Multiple Measurement Vectors
IEEE Transactions on Information Theory（2022）
摘要
In “Unlabeled Sensing”, one observes a set of linear measurements of an underlying signal with incomplete or missing information about their ordering, which can be modeled in terms of an unknown permutation. Previous work on the case of a single noisy measurement vector has exposed two main challenges: 1) a high requirement concerning the signal-to-noise ratio ( 更多
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关键词
Sensors,Noise measurement,Maximum likelihood estimation,Couplings,Radar tracking,Metadata,Linear regression
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