Source Separation for Simultaneous Seismic Data Acquisition

This is the data competion hosted by the IEEE Machine Learning for Signal Processing (MLSP) Technical Committee as part of the 27th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2017), Tokyo, Japan. This year the competion is based on a dataset kindly provided Petroleum Geo-Systems (PGS), on source separation for seismic data acquistion. 

The best three contenders are invited to present their methods and results at the IEEE Workshop on Machine Learning for Signal Processing that will be held in Tokyo this year from the 25th to the 28th September. A prize will also be awarded at this event. As part of the incentive, the organizing committee waives the conference registration fees for the top three contenders.