September 2026

With advances in aerial technology, remote-sensing object interpretation has found ubiquitous applications across diverse domains. Owing to atmospheric interference, haze severely degrades the quality

This letter proposes an adaptive rotation strategy (ARS) to resolve grating-lobe ambiguity in sparse arrays with large inter-element spacing. By exploiting the invariance of the true direction of arri

The rapid advancement of generative models has led to the synthesis of real-fake ambiguous voices. To erase the ambiguity, embedding watermarks into the frequency-domain features of synthesized voices

In this paper, we revisit the Cramér-Rao bound (CRB) for deterministic sparse vector estimation under a general observation model. For a given support set $\mathcal {S}$, we identify and analyze two a

Transformers have achieved promising performance in light field (LF) image super-resolution (SR). However, existing Transformer-based methods are typically developed under simplified degradation assum

Underwater object detection faces severe challenges caused by light attenuation, scattering, spatially varying turbidity, and boundary blur, which weaken object-related visual signals and reduce local

Existing neural-network-based multichannel speech enhancement methods often rely on magnitude or real-imaginary modeling, but pay insufficient attention to explicit phase reconstruction and the effect

The fractional Fourier transform (FrFT) extends the conventional Fourier transform by providing a hybrid representation between the time and frequency domains. Its distinctive properties make it suita

Provenance watermarking is increasingly treated as a safeguard for synthetic speech, whether built directly into speech-generation models such as Chatterbox, provided through dedicated techniques such

Diffusion-based skeleton anomaly detection has achieved promising accuracy, yet prevailing methods rely on increasingly heavyweight condition encoders—some even larger than the diffusion backbones the