AUTOMATING THE PARAMETRIZATION OF MULTI-STAGE ITERATIVE SOURCE SEPARATION WITH PRIORS USING MACHINE-LEARNING

Systems and methods may use machine learning to automate the parameterization process for multi-stage iterative source separation. Seismic signals that are generated by a plurality of sources are received by a plurality of sensors within a field as a blended signal. An automated machine learning mod...

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Hauptverfasser: Manikani, Sunil, Giro, Riccardo Angelo, Zhao, Tao, Bilsby, Phillip James, Pham, Nam, Kumar, Rajiv, Vassallo, Massimiliano, Kamil Amin, Yousif Izzeldin
Format: Patent
Sprache:eng
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