Sparse linear regression with compressed and low-precision data via concave quadratic programming

no code implementations • 9 Sep 2019 • Vito Cerone, Sophie M. Fosson, Diego Regruto

We consider the problem of the recovery of a k-sparse vector from compressed linear measurements when data are corrupted by a quantization noise.

Quantization regression