3 papers
eess.IV2020
Improving spatial domain based image formation through compressed sensing
Gene Stoltz, André Leon Nel
In this paper, we improve image reconstruction in a single-pixel scanning system by selecting an detector optimal field of view. Image reconstruction is based on compressed sensing…
eess.IV2020
Performance Estimation of a Real-Time Rosette Imager
Gene Stoltz, Marnus Stoltz
In this paper, we model a real-time feasible rosette imager, consisting of a rosette scanner, an optical sensor and a deterministic image reconstruction algorithm. We fine-tune the…
stat.CO2020
A 1000-fold Acceleration of Hidden Markov Model Fitting using Graphical Processing Units, with application to Nonvolcanic Tremor Classification
Marnus Stoltz, Gene Stoltz, Kazushige Obara +2
Hidden Markov models (HMMs) are general purpose models for time-series data widely used across the sciences because of their flexibility and elegance. However fitting HMMs can ofte…