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9 papers · 1 filter
Perturbation Theory-Aided Learned Digital Back-Propagation Scheme for Optical Fiber Nonlinearity Compensation
Xiang Lin, Shenghang Luo, Sunish Kumar Orappanpara Soman +4
Derived from the regular perturbation treatment of the nonlinear Schrodinger equation, a machine learning-based scheme to mitigate the intra-channel optical fiber nonlinearity is p…
Epileptic Seizure Classification Using Combined Labels and a Genetic Algorithm
Scot Davidson, Niamh McCallan, Kok Yew Ng +4
Epilepsy affects 50 million people worldwide and is one of the most common serious neurological disorders. Seizure detection and classification is a valuable tool for diagnosing an…
HSMD: An object motion detection algorithm using a Hybrid Spiking Neural Network Architecture
Pedro Machado, Andreas Oikonomou, Joao Filipe Ferreira +1
The detection of moving objects is a trivial task performed by vertebrate retinas, yet a complex computer vision task. Object-motion-sensitive ganglion cells (OMS-GC) are specialis…
Seizure Classification of EEG based on Wavelet Signal Denoising Using a Novel Channel Selection Algorithm
Niamh McCallan, Scot Davidson, Kok Yew Ng +4
Epilepsy is a disorder of the nervous system that can affect people of any age group. With roughly 50 million people worldwide diagnosed with the disorder, it is one of the most co…
Methane detection to 1 ppm using machine learning analysis of atmospheric pressure plasma optical emission spectra
Tahereh Shah Mansouri, Hui Wang, Davide Mariotti +1
Optical emission spectroscopy from a small-volume, 5 uL, atmospheric pressure RF-driven helium plasma was used in conjunction with Partial Least Squares Discriminant Analysis (PLS-…
Second-Order Perturbation Theory-Based Digital Predistortion for Fiber Nonlinearity Compensation
O. S. Sunish Kumar, A. Amari, O. A. Dobre +1
The first-order (FO) perturbation theory-based nonlinearity compensation (PB-NLC) technique has been widely investigated to combat the detrimental effects of the intra-channel Kerr…