Browsing by Subject "compressive sensing"
Now showing items 1-4 of 4
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(2020-10-13)This dissertation leverages the connection between coding theory and classical sparse recovery problems like sparse Fourier and Hadamard transform computations to understand properties of existing recovery algorithms under ...
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(2012-07-16)Digitizing wideband signals requires very demanding analog-to-digital conversion (ADC) speed and resolution specifications. In this dissertation, a mixed-signal parallel compressive sensing system is proposed to realize ...
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(2014-07-11)The ability to recover the phase information of a signal of interest from a measurement process plays an important role in many practical applications. When only the Fourier transform magnitude of the signal is recorded, ...
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(2016-04-20)The ability to quickly and cheaply localize radiation sources is incredibly important in the national security field. The ever increasing amount of intercontinental shipping makes cargo containers a likely vector for the ...