Sparse recovery based on q-ratio constrained minimal singular values
نویسندگان
چکیده
منابع مشابه
Sparse recovery based on q-ratio constrained minimal singular values
We study verifiable sufficient conditions and computable performance bounds for sparse recovery algorithms such as the Basis Pursuit, the Dantzig selector and the Lasso estimator, in terms of a newly defined family of quality measures for the measurement matrices. With high probability, the developed measures for subgaussian random matrices are bounded away from zero as long as the number of me...
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ژورنال
عنوان ژورنال: Signal Processing
سال: 2019
ISSN: 0165-1684
DOI: 10.1016/j.sigpro.2018.10.002