Minimax Optimal Sparse Signal Recovery with Poisson Statistics

IEEE Transactions on Signal Processing(2016)

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摘要
We are motivated by problems that arise in a number of applications such as Online Marketing and Explosives detection, where the observations are usually modeled using Poisson statistics. We model each observation as a Poisson random variable whose mean is a sparse linear superposition of known patterns. Unlike many conventional problems observations here are not identically distributed since they...
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关键词
Sensors,Explosives,Maximum likelihood estimation,Sparse matrices,Photonics,Upper bound
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