In this paper, we analyze the asymptotic performance of convex optimization-based discrete-
valued vector reconstruction from linear measurements. We firstly propose a box …

In this letter, we consider the problem of recovering an unknown sparse signal from noisy
linear measurements, using an enhanced version of the popular Elastic-Net (EN) method …

In this paper, we derive an analytical expression for the bit error rate (BER) of binary phase
shift keying (BPSK) symbols transmitted over a multiple-input multiple-output (MIMO) system …

In this paper, we consider the problem of recovering a sparse signal from noisy linear
measurements using the so called LASSO formulation. We assume a correlated Gaussian …

We propose in this work to employ the Box-LASSO, a variation of the popular LASSO
method, as a low-complexity decoder in a massive multiple-input multiple-output (MIMO) …

This paper provided a comprehensive analysis of sparse signal estimation from noisy and
possibly underdetermined linear observations in the high-dimensional asymptotic regime …

This paper considers the problem of symbol detection in massive multiple-input multiple-
output (MIMO) wireless communication systems. We consider hard-thresholding preceeded …

This paper considers the problem of symbol detection in massive multiple-input
multipleoutput (MIMO) wireless communication systems. We consider hard-thresholding …

In this paper, we study the mean square error (MSE) and the bit error rate (BER)
performance of the box-relaxation decoder in massive multiple-input-multiple-output (MIMO) …

In this paper, we study the mean square error (MSE) and the bit error rate (BER)
performance ofthe box-relaxation decoder in massive multiple-input-multiple-output (MIMO) …