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Device Detection and Channel Estimation in MTC with Correlated Activity Pattern
This paper provides a solution for the activity detection and channel estimation problem in grant-free access with correlated device activity patterns.
Hierarchical MTC User Activity Detection and Channel Estimation with Unknown Spatial Covariance
To solve the JUICE problem, we first leverage the concept of strong priors and propose a hierarchical-sparsity-inducing spike-and-slab prior to model the structured sparse activity pattern.
Neural Network Kalman filtering for 3D object tracking from linear array ultrasound data
Many interventional surgical procedures rely on medical imaging to visualise and track instruments.
Blind hierarchical deconvolution
Deconvolution is a fundamental inverse problem in signal processing and the prototypical model for recovering a signal from its noisy measurement.
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