October 2026

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

This paper proposes an enhanced semantic-aware Conformer model for speaker verification. Building on the original multi-scale feature aggregation conformer (MFA-Conformer) architecture, the proposed m

Task-oriented point cloud transmission preserves only the critical semantic information required by downstream inference tasks rather than reconstructing entire geometric point sets. However, existing

This letter develops an extended group-center state (EGCS)-based Bernoulli filter (BerF) for tracking a single resolvable group target (RGT) with a fixed number of members in a nearly rigid formation.

Current image quality assessment (IQA) methods generally adopt a rigid fidelity criterion that penalizes all deviations of the distorted image from the reference image, whether they are beneficial enh

Existing tensor robust principal component analysis (TRPCA) frameworks have achieved remarkable success in recovering low-rank structures from high-dimensional data. However, current methods often rel