September 2026

An analytic para-Hermitian matrix is commonly used to characterize wideband signal models in array signal processing. In this paper, an algorithm for computing the analytic solution of a linear system

State-space models, while fundamental to dynamic system analysis, face significant challenges in handling non-Gaussian outliers characterized by skewness and heavy tails. This paper addresses robust s

In recent years, integrated sensing and communication (ISAC) has garnered widespread attention from both the academia and wireless industry. Sequences with excellent ambiguity functions are critical i

Pixel-based fluid antennas provide enhanced multiplexing gains and quicker radiation pattern switching than traditional designs. However, this innovation introduces challenges for channel estimation a

Recently, a new approach to Reed–Solomon codes based on the partial-inverse (PI) problem and the PI algorithms (for solving the problem) was proposed, which includes the standard key equation for Reed

Molecules serve as both information carriers and potential energy sources in molecular communications via diffusion (MCvD). However, the stochastic and non-directional nature of diffusion often preven

We focus on a class of non-smooth non-convex optimization problems over the Stiefel manifold in the decentralized setting, where a connected network of $n$ agents cooperatively minimizes a finite-sum

Zak-transform-based orthogonal time frequency space (Zak-OTFS) modulation provides a delay-Doppler (DD) domain framework for integrated sensing and communication (ISAC) in high-mobility scenarios. Sin

Dueling bandit algorithms excel in learning from pairwise comparisons, offering robust performance guarantees in benign environments. However, recent evidence suggests that even state-of-the-art metho

A predominant limitation of current graph sampling approaches is their inability to reliably process multiband graph signals with unknown spectral support. In this paper, we present a minimal graph sa