1-ADM-CNN: A Lightweight In-field Compression Method for Seismic Data
Author:
Affiliation:
1. Department of Electrical Engineering and Center for Energy and Geo Processing, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
Funder
Deanship of Research Oversight and Coordination (DROC) at King Fahd University of Petroleum and Minerals
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8920/9969381/09839658.pdf?arnumber=9839658
Reference28 articles.
1. Compression of electrocardiogram signals using JPEG2000
2. An Efficient Seismic Data Acquisition Based on Compressed Sensing Architecture With Generative Adversarial Networks
3. A Distributed Principal Component Analysis Compression for Smart Seismic Acquisition Networks
4. Compression of seismic signals via recurrent neural networks: Lossy and lossless algorithms
5. Seismic data compression using deep neural network predictors
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1. Microseismic signal denoising using simple bandpass filtering based on normal time–frequency transform;Acta Geophysica;2023-02-10
2. Signal Recovery from Randomly Quantized Data Using Neural Network Approach;Sensors;2022-11-11
3. DeepSeg: Deep Segmental Denoising Neural Network for Seismic Data;IEEE Transactions on Neural Networks and Learning Systems;2022
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