Compression of seismic signals via recurrent neural networks: Lossy and lossless algorithms
Author:
Affiliation:
1. Georgia Institute of Technology
2. King Fahd University of Petroleum & Minerals
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2019-3207380.1
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1. Efficient Deep Neural Network for Digital Image Compression Employing Rectified Linear Neurons
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4. Advances in Seismic Data Compression via Learning from Data: Compression for Seismic Data Acquisition
5. Arithmetic Coding
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