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Fronthaul Compression and Passive Beamforming Design for Intelligent Reflecting ...
This letter studies a cloud radio access network (C-RAN) with multiple intelligent reflecting surfaces (IRS) deployed between users and remote radio heads (RRH). Specifically, we consider the uplink transmission where each RRH q ... Read More >
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An Overview of Signal Processing Techniques for Joint Communication and Radar Se ...
Joint communication and radar sensing (JCR) represents an emerging research field aiming to integrate the above two functionalities into a single system, sharing a majority of hardware and signal processing modules and, in a typ ... Read More >
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Reducing Labelled Data Requirement for Pneumonia Segmentation using Image Augmen ...
Deep learning semantic segmentation algorithms can localise abnormalities or opacities from chest radiographs. However, the task of collecting and annotating training data is expensive and requires expertise which remains a bott ... Read More >
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Binary segmentation of medical images using implicit spline representations and ...
We propose a novel approach to image segmentation based on combining implicit spline representations with deep convolutional neural networks. This is done by predicting the control points of a bivariate spline function whose zer ... Read More >
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CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for Soft Detec ...
Following the great success of Machine Learning (ML), especially Deep Neural Networks (DNNs), in many research domains in 2010s, several ML-based approaches were proposed for detection in large inverse linear problems, e.g., mas ... Read More >
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Coarse-to-fine Airway Segmentation Using Multi information Fusion Network and CN ...
Automatic airway segmentation from chest computed tomography (CT) scans plays an important role in pulmonary disease diagnosis and computer-assisted therapy. However, low contrast at peripheral branches and complex tree-like str ... Read More >
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Synthesis of Hybrid Automata with Affine Dynamics from Time-Series Data
Formal design of embedded and cyber-physical systems relies on mathematical modeling. In this paper, we consider the model class of hybrid automata whose dynamics are defined by affine differential equations. Given a set of time ... Read More >
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Distributional robustness in minimax linear quadratic control with Wasserstein d ...
To address the issue of inaccurate distributions in practical stochastic systems, a minimax linear-quadratic control method is proposed using the Wasserstein metric. Our method aims to construct a control policy that is robust a ... Read More >
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Control of Scanning Quantum Dot Microscopy
Scanning quantum dot microscopy is a recently developed high-resolution microscopy technique that is based on atomic force microscopy and is capable of imaging the electrostatic potential of nanostructures like molecules or sing ... Read More >
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Optimal steering to invariant distributions for networks flows
We derive novel results on the ergodic theory of irreducible, aperiodic Markov chains. We show how to optimally steer the network flow to a stationary distribution over a finite or infinite time horizon. Optimality is with respe ... Read More >