We analyze the observability of motion estimates from the fusion of visual and inertial sensors. Because the model contains unknown parameters, such as sensor biases, the problem is usually cast as a mixed identification/filtering, and the resulting observability analysis provides a necessary condition for any algorithm to converge to a unique point estimate. Unfortunately, most models treat se...

Boson bunching is among the most remarkable features of quantum physics. A celebrated example in optics Hong–Ou–Mandel effect, where two photons arises from a destructive interference between trajectories they both either cross beamsplitter or are reflected. This effect takes its roots indistinguishability identical photons. Hence, it generally admitted—and experimentally verified—that vanishes...

Abstract We present a novel application of partial convolutional neural networks (PCNN) that can inpaint masked images the cosmic microwave background. The network reconstruct both maps and power spectra to few percent for circular irregularly shaped masks covering up 10% image area. By performing Kolmogorov-Smirnov test we show reconstructed are indistinguishable from input at 99.9% level. Mor...