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cs.IT2017
A Non-Convex Optimization Technique for Sparse Blind Deconvolution -- Initialization Aspects and Error Reduction Properties
Aniruddha Adiga, Chandra Sekhar Seelamantula
Sparse blind deconvolution is the problem of estimating the blur kernel and sparse excitation, both of which are unknown. Considering a linear convolution model, as opposed to the…
cs.IT2016
Super-Resolution From Binary Measurements With Unknown Threshold
Subhadip Mukherjee, Anjany Kumar Sekuboyina, Chandra Sekhar Seelamantula
We address the problem of super-resolution of point sources from binary measurements, where random projections of the blurred measurement of the actual signal are encoded using onl…