Abstract: Seismic deconvolution is essential for extracting layer information from noisy seismic data, but it is an ill-posed problem with nonunique solutions. Inspired by classical optimization ...
The data should be in a text file with two columns (Raman shift and Intensity) separated by any commonly used delimiter. The script also accepts .wdf files (generated by the WIRE software of Renishaw ...
Abstract: Non-blind deconvolution aims to restore a sharp image from its blurred counterpart given an obtained kernel. Existing deep neural architectures are often built based on large datasets of ...
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