Prevalent in sub-Saharan Africa and Asia, malaria, caused by the parasite Plasmodium affects over 200 million people yearly. One widely used antimalarial is the antifolate pyrimethamine. However, previous research has shown that specific point mutations in the parasite’s genome leads to higher pyrimethamine resistance, and a genetically fitter allele. Using pharmacokinetic theory, we model a cl...

We propose RSFT, which is an extension of the one dimensional Sparse Fourier Transform algorithm to higher dimensions in a way that it can be applied to real, noisy data. The RSFT allows for off-grid frequencies. Furthermore, by incorporating Neyman-Pearson detection, the frequency detection stages in RSFT do not require knowledge of the exact sparsity of the signal and are more robust to noise...

Abstract In this paper, a class of deterministic sensing matrices are constructed by selecting rows from Fourier matrices. These matrices have better performance in sparse recovery than random partial Fourier matrices. The coherence and restricted isometry property of these matrices are given to evaluate their capacity as compressive sensing matrices. In general, compressed sensing requires ran...

Title of dissertation: Anomaly Detection in Noisy Images Xavier Gibert Serra, Ph.D. Examination, Fall 2015 Dissertation directed by: Professor Rama Chellappa Department of Electrical and Computer Engineering Finding rare events in multidimensional data is an important detection problem that has applications in many fields, such as risk estimation in insurance industry, finance, flood prediction...

(1) In a previous paper(1) a statistical theory of visual thresholds was reported which accounts for the influence both of quantum noise and of visual noise added to the test patterns. This theory finds particular application in the pre­ diction of thresholds of vision through image intensifying systems which superimpose system noise on the observed scenes. In a subsequent paper(2) an additiona...