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Calibration Models And System Development For Compressive Sensing With Micromirror Arrays, Rebecca L. Profeta

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Compressive sensing (CS) is an active research field focused on finding solutions to sparse linear inverse problems, i.e. estimating a signal using fewer linear measurements than there are unknowns. The assumption of signal sparsity makes solutions to this otherwise ill-posed problem possible and has lead to a number of technological innovations such as smaller and less expensive cameras that capture high resolution imagery, low-power radar systems, and accelerated MRI scanners. In this thesis, we present the development of a hardware CS imaging system using a Digital Micromirror Device (DMD) providing spatial light modulation via an array of micromirrors that can …