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Full-Text Articles in Electrical and Computer Engineering
Learning Approach For Fast Approximate Matrix Factorizations, Haiyan Yu
Learning Approach For Fast Approximate Matrix Factorizations, Haiyan Yu
Electronic Theses and Dissertations
Efficiently computing an (approximate) orthonormal basis and low-rank approximation for the input data X plays a crucial role in data analysis. One of the most efficient algorithms for such tasks is the randomized algorithm, which proceeds by computing a projection XA with a random projection matrix A of much smaller size, and then computing the orthonormal basis as well as low-rank factorizations of the tall matrix XA. While a random matrix A is the de facto choice, in this work, we improve upon its performance by utilizing a learning approach to find an adaptive projection matrix A from a set …
Development Of A Capacitive Photocurrent Scanning Microscope With Carrier Depletion Super-Resolution., Austin Levi Carver
Development Of A Capacitive Photocurrent Scanning Microscope With Carrier Depletion Super-Resolution., Austin Levi Carver
Electronic Theses and Dissertations
This dissertation discusses the development and refinement of a new two-dimensional imaging technique, funded in part through a NSF MRI equipment development grant. Capacitive-Photocurrent (CPC) spectroscopy allows for the probing of samples without the requirement of free-carrier collection. The CPC technique allows for the studying of various states within a material. With this electronic measurement technique, we developed a scanning technique, scanning-CPC, that provides two-dimensional material property images without requiring environments that must be high-vacuum, humidity-controlled, or temperature-controlled. This new technique also provides two-dimensional, electronic mapping without damaging samples. With this successful result, we then modified an existing resolution improving …