Methods to deconvolute experimental mixture spectra via a model that is trained on experimental pure-component spectra. This is documentation for https://github.com ...

We benchmarked the performance of several deconvolution algorithms on the CTI dataset, including our developed method MixUpVI. This repository and the proposed methods are part of the following paper: ...

Abstract: Deconvolution technology, as an effective means to enhance the resolution of seismic data, has emerged as a prominent research area in the field of seismic exploration. However, due to its ...

Abstract: Blind deconvolution is a challenging problem, but in low-light it is even more difficult. Existing algorithms, both classical and deep-learning based, are not designed for this condition.