September 2026

Multistatic ranging with mobile receivers enables good tracking performance due to the combined adaptive sensor geometry. However, environments that contain signal obstructing obstacles require receiv

High-dimensional and correlated reference signals make multi-reference active noise control (ANC) computationally demanding, prone to slow convergence, and difficult to deploy in real-time application

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