October 2026

Outdoor-to-indoor sub-terahertz links leak energy through building partitions, enabling penetration-path eavesdropping. This letter studies when polarization-dependent wall penetration can be a physic

Coded aperture snapshot spectral imaging (CASSI) encodes a three-dimensional hyperspectral image (HSI) into a two-dimensional measurement. Dual-camera compressive hyperspectral imaging (DCCHI) augment

In statistical signal processing, online change-point detection often faces the challenge of impulsive noise, which severely degrades standard algorithms. While the sliding-window centered Mann-Whitne

To overcome the uniform degrees of freedom (uDOFs) limitation of conventional sparse arrays based on second-order statistics, third-order cumulant (TOC) have recently been introduced into sparse array

The condition number of a network layer, the ratio of its optimal upper and lower Lipschitz constants, measures how much the layer distorts distances between inputs. Xia and Zhou proved that for stand

This letter proposes a frequency-optimized multi-frequency joint sparse recovery method for grating-lobe suppression in distributed radar. Single-frequency sparse recovery in distributed large-baselin

This letter generalizes the classical linear and Gaussian state-space model described by a dynamical and an observation model. We show that this model is actually a particular instance of a more gener

Sparse representation classification (SRC) typically assigns a test sample to the class with the smallest Euclidean reconstruction residual. However, this comparison can be inappropriate when the feat

Orthogonal signal sets play a central role in many digital communication and radar use cases, among others. While these important signal sets are readily defined in the digital domain, practical imple

Traffic sign detection remains challenging because of dense small objects, complex backgrounds, occlusion, and limited edge resources. This letter proposes MMS-Net, integrating multi-scale semantic re