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Section: Publications & Resources

Publication: IEEE Transactions on Signal and Information Processing over Networks

Novel Monte Carlo estimators are proposed to solve both the Tikhonov regularization (TR) and the interpolation problems on graphs. These estimators are based on random spanning forests (RSF), the theoretical properties of which enable to analyze the estimators’ theoretical mean and variance.

Section: Publications & Resources

Publication: IEEE Transactions on Signal and Information Processing over Networks

This paper considers the problem of decentralized consensus optimization over a network, where each node holds a strongly convex and twice-differentiable local objective function. Our goal is to minimize the sum of the local objective functions and find the exact optimal solution using only local computation and neighboring communication.

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Spatial registration and track-to-track association (which are mutually coupled) are essential parts in the process of multi-sensor information fusion. The quality of the spatial registration and track association algorithm directly influences the subsequent fusion performance.

Section: Publications & Resources

Publication: IEEE Open Journal of Signal Processing

Target source extractionis significant for improving human speech intelligibility and the speech recognition performance of computers. This study describes a method for target source extraction, called the similarity-and-independence-awarebeamformer (SIBF). The SIBF extracts the target source using a rough magnitude spectrogram as the reference signal. The advantage of the SIBF is that it can obtain a more accurate signal than the spectrogram generated by target-enhancing methods such as speech enhancement based on deep neural networks. 

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

This paper addresses the problem of target detection against a background of Gaussian clutter by using frequency snapshots with reduced degrees of freedom (DOF). We derive the optimal detector and detection performance under the Neyman-Pearson criterion for general frequency snapshot selection with arbitrary DOF. When the clutter statistics are unknown, we use a uniformly random frequency snapshot selection method and show how the DOF employed affects the detection performance. 

Section: Publications & Resources

Publication: IEEE Transactions on Information Forensics and Security

Industrial Control Systems (ICS) are increasingly exposed to cyber-physical attacks such as man-in-the-middle manipulation, sensor spoofing, and protocol-compliant command injection. Network-side defe

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Point cloud compression often introduces noticeable reconstruction artifacts, which makes quality enhancement necessary. Existing approaches typically assume prior knowledge of the distortion level an

Section: Publications & Resources

Publication: IEEE Open Journal of Signal Processing

Inverse rendering decomposes a scene into geometry, materials, and lighting to enable physically consistent view synthesis and relighting. Inverse rendering approaches built upon Gaussian Splatting be

Section: Publications & Resources

Publication: IEEE Transactions on Information Forensics and Security

Editor-in-Chief:Luisa VerdolivaUniversity Federico II of Naples, ItalyEmail EiC Email SPS Publications Office

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Editor-in-Chief:Zhi TianGeorge Mason University, USAEmail EiC Email SPS Publications OfficeTerm Ends: 31 December 2026