2 papers
eess.SY2024
Simulated Eyeblink Artifact Removal with ICA: Effect of Measurement Uncertainty
Jennie Couchman, Orestis Kaparounakis, Chatura Samarakoon +1
Independent Component Analysis (ICA) is commonly-used in electroencephalogram (EEG) signal processing to remove non-cerebral artifacts from cerebral data. Despite the ubiquity of I…
cs.AR2024
Electron-Tunnelling-Noise Programmable Random Variate Accelerator for Monte Carlo Sampling
James T. Meech, Vasileios Tsoutsouras, Phillip Stanley-Marbell
This article presents an electron tunneling noise programmable random variate accelerator for accelerating the sampling stage of Monte Carlo simulations. We used the LiteX framewor…