This article presents a novel decision fusion algorithm for Internet-of-Things-based wireless
sensor networks, where multiple sensors transmit their decisions about a certain …

In view of the fact that independent gesture recognition cannot fully meet the natural,
convenient and effective needs of actual human-computer interaction, this paper analyzes …

In this paper, we study ℓ 1− αℓ 2 (0< α⩽ 1) minimization methods for signal and image
reconstruction with impulsive noise removal. The data fitting term is based on ℓ 1 fidelity …

In the paper, we proposed the Dantzig selector based on the ℓ 1− αℓ 2 (0< α⩽ 1)
minimization for the signal recovery. In the Dantzig selector, the constraint|| A⊤(b− Ax)||∞⩽ η …

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 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 …

Estimating the values of unknown parameters in ill-posed problems from corrupted
measured data presents formidable challenges in ill-posed problems. In such problems …

Accurate signal‐to‐noise ratio (SNR) estimation is critical in wireless communication
systems as it directly impacts system performance and the assessment of signal quality …

This letter investigates the asymptotic spectral distribution (ASD) of a stochastic second-
order progressive scattering channel (PSC), a prevalent component in radar and …

The generalized penalized constrained regression (G-PCR) is a penalized model for high-
dimensional linear inverse problems with structured features. This paper presents a sharp …