September 2026

This letter studies a Fourier-probe obstruction test for structured residue-class derivative sampling of analytic functions. At each of two sampling points, only derivatives whose orders lie in prescr

Due to the large approximation errors, current omega-k algorithms for multireceiver synthetic aperture sonar (MSAS) fail to achieve high-quality results. To address this issue, this letter presents a

We propose an Adaptive Kernel Bayes Filter (AKBF) that integrates the kernel Bayes rule with explicit dynamical models. Particles are evolved in data space while their kernel mean embeddings are propa

Differential beamforming enables compact arrays to synthesize frequency-invariant, highly directive beampatterns, but existing formulations for arbitrary planar geometries assume omnidirectional or, a

State-of-the-art no-reference video quality assessment (NR-VQA) methods for conventional 2D videos achieve remarkable performance by leveraging quality-sensitive local spatial fragments. However, dire

Weakly supervised semantic segmentation (WSSS) with image-level labels is largely limited by the reliability of dense seed supervision. Existing CAM- and CLIP-based methods provide complementary local