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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. 

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Conventional beamforming methods for intelligent reflecting surfaces (IRSs) or reconfigurable intelligent surfaces (RISs) typically entail the full channel state information (CSI). However, the computational cost of channel acquisition soars exponentially with the number of IRSs. To bypass this difficulty, we propose a novel strategy called blind beamforming that coordinates multiple IRSs by means of statistics without knowing CSI.

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

The modeling of time-varying graph signals as stationary time-vertex stochastic processes permits the inference of missing signal values by efficiently employing the correlation patterns of the process across different graph nodes and time instants. In this study, we propose an algorithm for computing graph autoregressive moving average (graph ARMA) processes based on learning the joint time-vertex power spectral density of the process from its incomplete realizations for the task of signal interpolation. 

Section: Events

Date: 15-16 July 2024 Location: Niagara Falls, Canada

Section: Events

Date: 18-20 June 2024 Location: Karlshamn, Sweden

Section: Events

Date: 13 February 2024 Chapter: Switzerland Chapter Chapter Chair: Thomas Mittelholzer Topic: Digital Twins for Communications: How to create and use them

Section: Events

Date:  5 March 2024 Chapter: Twin Cities Chapter Chapter Chair: Tao Zhang Title: Signal Processing and Deep Learning for Practical Active Noise Control

Section: Publications & Resources

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