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The development and application of random matrix theory in adaptive signal processing in the sample deficient regime
(Massachusetts Institute of Technology, 2014)
This thesis studies the problems associated with adaptive signal processing in the sample deficient regime using random matrix theory. The scenarios in which the sample deficient regime arises include, among others, the ...
Multi-modal and inertial sensor solutions for navigation-type factor graphs
(Massachusetts Institute of Technology, 2017)
This thesis presents a sum-product inference algorithm for in-situ, nonparametric platform navigation called Multi-modal iSAM (incremental smoothing and mapping), for problems of thousands of variables. Our method tracks ...
Graphical model driven methods in adaptive system identification
(Massachusetts Institute of Technology, 2016)
Identifying and tracking an unknown linear system from observations of its inputs and outputs is a problem at the heart of many different applications. Due to the complexity and rapid variability of modern systems, there ...