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Estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on the mean-squared error, which holds regardless of the sensing / design matrix being used and regardless of the estimation procedure.
- Author
- Catalin Toma
- Language
- EN