The goal of this work is to recover articulatory information from the speech signal by acoustic-to-articulatory inversion. One of the main difficulties with inversion is that the problem is underdetermined and inversion methods generally offer no guarantee on the phonetical realism of the inverse solutions. A way to adress this issue is to use additional phonetic constraints. Knowledge of the p...

The goal of this work is to recover articulatory information from the speech signal by acoustic-to-articulatory inversion. One of the main difficulties with inversion is that the problem is underdetermined and inversion methods generally offer no guarantee on the phonetical realism of the inverse solutions. A way to adress this issue is to use additional phonetic constraints. Knowledge of the p...

This paper presents a method to determine the shape of a space object while simultaneously recovering the observed space object’s inertial orientation. This paper employs an Adaptive Hamiltonian Markov Chain Monte Carlo estimation approach, which uses light curve data to infer the space object’s orientation, shape, and surface parameters. This method is shown to work well for relatively high di...

1 INTRODUCTION Reflection angle domain (RAD) imaging is gaining interest as an alternative to shot and offset domain methods (Xu et al., 1998). The advantage of RAD imaging is that it reduces the number and strength of artifacts seen in complex areas, particularly artifacts caused by mul-tipathing. RAD imaging reduces artifacts but does not overcome the inherent limitations in surface seismic r...

Graph-based dimensionality reduction techniques assume that each datapoint can be written as a fixed width vector with a well-defined distance measure among datapoints; also, they typically assume that the number of instances is small enough to perform matrix inversion or pseudo-inversion. This paper considers dimensionality reduction on data using graph-based methods when two extreme circumsta...

We propose a novel numerical inversion algorithm for the coefficients of parabolic partial differential equations, based on model reduction. The study is motivated by the application of controlled source electromagnetic exploration, where the unknown is the subsurface electrical resistivity and the data are time resolved surface measurements of the magnetic field. The algorithm presented in thi...