Abstract: Existing online continuous-time parameter estimation laws provide exact (asymptotic/exponential or finite/fixed time) identification of dynamical linear ...

Abstract: Accurate and robust human motion estimation is essential for enabling effective electromyography (EMG) signal-driven neural-machine interfaces in daily activities. Variation in loading ...

We will keep our notes and code on dealing with censored variables in Bayesian models in this repo. My initial idea for this is that we can basically treat each worked out example or section that we ...

Most resources jump straight to (y = Xb + Zu + e). This book takes a different route: mechanism first. Students draw distributions and ellipses, trace pedigrees, and build small matrices by hand. By ...

We know the genes, but not their functions—to resolve this long-standing bottleneck in microbial research, a joint research team has proposed a cutting-edge research strategy that leverages artificial ...