The problem of recovering a signal x∈ℝ^n from a
quadratic system {y_i=x^...
A covariance matrix estimator using two bits per entry was recently deve...
Low-rank multivariate regression (LRMR) is an important statistical lear...
This paper studies the quantization of heavy-tailed data in some fundame...
The reconstruction of low-complexity, particularly sparse signal from ph...
A noisy generalized phase retrieval (NGPR) problem refers to a problem o...
Compared with data with high precision, one-bit (binary) data are prefer...
In this paper, we study color image inpainting as a pure quaternion matr...