Deconvolution of Point Sources: A Sampling Theorem and Robustness Guarantees
نویسندگان
چکیده
منابع مشابه
Deconvolution of Point Sources: A Sampling Theorem and Robustness Guarantees
In this work we analyze a convex-programming method for estimating superpositions of point sources or spikes from nonuniform samples of their convolution with a known kernel. We consider a one-dimensional model where the kernel is either a Gaussian function or a Ricker wavelet, inspired by applications in geophysics and imaging. Our analysis establishes that minimizing a continuous counterpart ...
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ژورنال
عنوان ژورنال: Communications on Pure and Applied Mathematics
سال: 2018
ISSN: 0010-3640,1097-0312
DOI: 10.1002/cpa.21805