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Section: Publications & Resources

In accordance with the Bylaws of the IEEE Signal Processing Society, I am writing to solicit nominations for the Awards Board and the Nominations and Appointments (N&A) Committee. This year, the Society will be filling TWO positions on the N&A Committee for the term 2025-2026 and TWO positions on the Awards Board for the term 2025-2027.

Section: Publications & Resources

The IEEE Signal Processing Society (SPS) invites nominations for the position of Awards Board Chair. The term for the Awards Board Chair will be three years (1 January 2025-31 December 2027).

Section: Publications & Resources

With the IEEE Annual Election and several Society elections underway, a friendly reminder to review and adhere to the IEEE election campaign policies which apply to all IEEE elections. 

Section: Publications & Resources

Thanks in large part to all IEEE societies, IEEE DataPort currently has over 8.5 million global users and over 6000 datasets. IEEE DataPort is a global research data platform available to individual researchers and institutions enabling them to perform critical data management functions including storing valuable research datasets and accessing research datasets that can be used in research.

Section: Publications & Resources

With the IEEE Annual Election and several Society elections underway, a friendly reminder to review and adhere to the IEEE election campaign policies which apply to all IEEE elections. 

Section: Publications & Resources

Publication: IEEE Signal Processing Magazine

White Paper Due: 1 November 2024 Publication: December 2025

Section: Publications & Resources

Publication: IEEE Transactions on Signal and Information Processing over Networks

Representation learning considering high-order relationships in data has recently shown to be advantageous in many applications. The construction of a meaningful hypergraph plays a crucial role in the success of hypergraph-based representation learning methods, which is particularly useful in hypergraph neural networks and hypergraph signal processing.

Section: Publications & Resources

Publication: IEEE Transactions on Signal and Information Processing over Networks

This work explores the challenging problems of nonlinear dynamics, nonaffine structures, heterogeneous properties, and deception attack together and proposes a novel distributed model-free adaptive predictive control (DMFAPC) for multiple-input-multiple-output (MIMO) multi-agent systems (MASs). A dynamic linearization method is introduced to address the nonlinear heterogeneous dynamics which is transformed as the unknown parameters in the obtained linear data model.

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

This paper proposes an interpretable ensembled seizure detection procedure using electroencephalography (EEG) data, which integrates data driven features and clinical knowledge while being robust against artifacts interference.

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Algorithmic solutions for multi-object tracking (MOT) are a key enabler for applications in autonomous navigation and applied ocean sciences. State-of-the-art MOT methods fully rely on a statistical model and typically use preprocessed sensor data as measurements. In particular, measurements are produced by a detector that extracts potential object locations from the raw sensor data collected at discrete time steps. This preparatory processing step reduces data flow and computational complexity but may result in a loss of information.