7 accepted papers
We revisit the classical problem of universal prediction of stochastic sequences with a finite time horizon $T$ known to the learner. The question we investigate is whether it is possible to derive vanishing regret bounds that hold with high probability, complementing existing bounds from the litera…
Signal processing makes extensive use of point estimators and accompanying error bounds. These work well up until the likelihood function has two or more high peaks. When it is important for an estimator to remain reliable, it becomes necessary to consider alternatives, such as set estimators. An ob…
This study introduces an angle-based micro-Doppler analysis using Frequency Modulated Continuous Wave (FMCW) radar tailored for axle-based vehicle classification. The novel approach exploits the signal angle of arrival to separate incoming signals and noise from distinct targets. This is done by ana…
A class of discrete-time random processes that have seen a wide variety of applications consists of a linear state-space model whose parameters are modulated by the state of a finite-state Markov chain. A typical way to filter such processes is with collapsing methods, which approximate the underlyi…
Single-particle imaging experiments using X-ray Free-Electron Lasers (XFEL) belong to a new generation of X-ray imaging techniques potentially allowing high resolution images of non-crystallizable molecules to be obtained. One of the challenges of single-particle imaging is the reconstruction of the…
This paper considers the problem of parameter estimation for multiple scattering process on the sphere. Using harmonic analysis, a Fourier expansion of the pdf of the process is obtained. Based on the Fourier coefficient statistics, we consider the problem of estimating the parameter of the process…
This paper describes the application of particle filtering to the solution of the problem of filtering with observations in a manifold. Mathematically, this is based on an original use of so-called connector maps. It is shown that well-chosen connector maps can be used to transform successive sample…