Explosion Discrimination Using Seismic Gradiometry and Spectrally Filtered Principal Components: Controlled Field Experiments
Spectrally filtered principal component analysis (SFPCA) is a method we developed to
discriminate between seismic source types. It is based on the well‐known principal …
discriminate between seismic source types. It is based on the well‐known principal …
[PDF][PDF] Representing Time: Towards Pragmatic Multivariate Time Series Modeling
CI Challu - 2024 - kilthub.cmu.edu
Time series models are specialized in learning temporal dependencies among observations
and interactions between multiple features in a data stream. During the last decade, the …
and interactions between multiple features in a data stream. During the last decade, the …
Quantitative assessment of Distributed Acoustic Sensing at the Source Physics Experiment (Phase II)
In this report, we assess the data recorded by a Distributed Acoustic Sensing (DAS) cable
deployed during the Source Physics Experiment, Phase II (DAG) in comparison with the data …
deployed during the Source Physics Experiment, Phase II (DAG) in comparison with the data …