WaveU -Net: Multi-scale wavelet framework for robust recovery of continuous pressure signals in mud pulse telemetry
Authors:
- Qingfeng ZengQZQingfeng Zeng
- Yanfeng GengYGYanfeng Geng
- Shu JiangSJShu Jiang
- Weiliang WangWWWeiliang Wang
- 6 January 2026
- journal article
- Published by Elsevier in Digital Signal Processing
- Vol. 173
Abstract
No abstract availableFunding Information
- Natural Science Foundation of Shandong Province
- National Natural Science Foundation of China
This publication has 26 references indexed in Scilit:
- FHR signal analysis using attention-based 1DCNN-BiLSTM neural network for intrapartum fetal monitoringDigital Signal Processing, 2025
- Robust automatic modulation classification using asymmetric trilinear attention net with noisy activation functionEngineering Applications of Artificial Intelligence, 2024
- A comprehensive survey on contrastive learningNeurocomputing, 2024
- Adaptive filtering for microelectromechanical inertial sensors using empirical mode decomposition, Hausdorff distance and fractional Gaussian noise modelingDigital Signal Processing, 2024
- A real-time constellation image classification method of wireless communication signals based on the lightweight network MobileViTCognitive Neurodynamics, 2023
- Study on signal decomposition-based pump noise cancellation method for continuous-wave mud pulse telemetryGeoenergy Science and Engineering, 2023
- Review of wavelet denoising algorithmsMultimedia Tools and Applications, 2023
- A continuous phase-frequency modulation technique and adaptive pump noise cancellation method of continuous-wave signal over mud telemetry channelDigital Signal Processing, 2021
- A review of mud pulse telemetry signal impairments modeling and suppression methodsJournal of Petroleum Exploration and Production Technology, 2018
- Continuous wavelet transformation: A novel approach for better detection of mud pulsesJournal of Petroleum Science and Engineering, 2013