Signal Recovery from Randomly Quantized Data Using Neural Network Approach
We present an efficient scheme based on a long short-term memory (LSTM) autoencoder for accurate seismic deconvolution in a multichannel setup. The technique is beneficial for compressing massive amounts of seismic data. The proposed robust estimation ensures the recovery of sparse reflectivity from...
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Format: | Article |
Language: | English |
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MDPI AG
2022-11-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/22/22/8712 |