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Section: Publications & Resources

Publication: IEEE Signal Processing Letters

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

Section: Publications & Resources

Publication: IEEE Signal Processing Letters

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

Section: Publications & Resources

Publication: IEEE Signal Processing Letters

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

Section: Publications & Resources

Publication: IEEE Signal Processing Letters

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

Section: Publications & Resources

Publication: IEEE Signal Processing Letters

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

Section: Publications & Resources

Publication: IEEE Signal Processing Letters

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

Section: Publications & Resources

Publication: IEEE Signal Processing Letters

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

Section: Publications & Resources

Publication: IEEE Signal Processing Letters

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

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

This paper tackles the challenging problem of jointly inferring time-varying network topologies and imputing missing data from partially observed graph signals. We propose a unified non-convex optimiz

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

In this paper, we investigate the problem of decentralized online resource allocation in the presence of Byzantine attacks. In this problem setting, some agents may be compromised due to external mani