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math.PR2022
Bounds for matrices of inclusion probabilities in rejective sampling
Simon Ruetz, Karin Schnass
Motivated by a desire to model n-sparse signals more realistically, we study matrices of inclusion probabilities for conditional Poisson or rejective sampling in the non-asymptotic…
cs.IT2022
Adapted variable density subsampling for compressed sensing
Simon Ruetz
Recent results in compressed sensing showed that the optimal subsampling strategy should take into account the sparsity pattern of the signal at hand. This oracle-like knowledge, e…