High-throughput material screening for the discovery and design of novel functional materials requires automatized analyses theoretical experimental data. Here we study subject human-free one-dimensional spectroscopic data, {\it e.g.} in frequency domain, via employing deep convolution neural network. Specifically, trained various network benchmarked their performance decomposing noisy data int...

the stolt (f-k) migration algorithm is a direct (i.e. non-recursive) fourier-domain technique based on a change of variables (or equivalently, a mapping) that converts the input spectrum to the output spectrum. the algorithm is simple and efficient but limited to constant velocity. a v(z)(f-k) migration method, capable of very high accuracy for vertical variations of velocity, can be formulated...