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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698862/ https://www.ncbi.nlm.nih.gov/pubmed/36433310 http://dx.doi.org/10.3390/s22228712 |