Now showing items 1-6 of 6
Fast Numerical and Machine Learning Algorithms for Spatial Audio Reproduction
Audio reproduction technologies have underwent several revolutions from a purely mechanical, to electromagnetic, and into a digital process. These changes have resulted in steady improvements in the objective qualities of ...
Using a Discriminator to Improve Compressive Sensing Efficiency
Our work defines, implements, and evaluates a modification to a spectrum-based compression scheme for data streams coming from jet aircraft health-monitoring sensors. The modification consists of the addition of a ...
Computational Foundations for Safe and Efficient Human-Robot Collaboration in Assembly Cells
Human and robots have complementary strengths in performing assembly operations. Humans are very good at perception tasks in unstructured environments. They are able to recognize and locate a part from a box of miscellaneous ...
POSITIVE FILTERED P_N METHOD FOR LINEAR TRANSPORT EQUATIONS AND THE ASSOCIATED OPTIMIZATION ALGORITHM
We propose a positive, accurate moment closure for linear kinetic transport equations based on a filtered spherical harmonic (FP_N) expansion in the angular variable. The FP_N moment equations are accurate approximations ...
Spectral graph theory with applications to quantum adiabatic optimization
In this dissertation I draw a connection between quantum adiabatic optimization, spectral graph theory, heat-diffusion, and sub-stochastic processes through the operators that govern these processes and their associated ...
APPROXIMATION ALGORITHMS FOR FACILITY LOCATION AND CLUSTERING PROBLEMS
Facility Location (FL) problems are among the most fundamental problems in combinatorial optimization. FL problems are also closely related to Clustering problems. Generally, we are given a set of facilities, a set of ...