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Adaptive Impulsive Noise Suppression: A Deep Learning-Based Parameters Estimation Approach
IEEE transactions on broadcasting, 2023In order to obtain favorable communication performance, impulsive noise needs to be suppressed which is a major interference in scenarios such as broadcasting system and power line communication.
Yue He +5 more
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Improved Balance Technique for Common-Mode Noise Suppression of PCB-Based PFC
IEEE transactions on power electronics, 2022Symmetry and cancellation techniques are often employed to suppress common-mode (CM) noises in switching power converters. In addition, shielding technique (Fei et al., 2018) has been demonstrated effectively to suppress CM noises for isolated converter ...
Shuo Wang, F. Lee, Qiang Li
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Noise-Suppressing Deep Tracking
IEEE Transactions on Circuits and Systems for Video Technology, 2022In visual tracking, it is challenging to distinguish the target from similar objects called noises in the background. As deep trackers use convolutional neural networks for image classification as feature extractors, the extracted features are insensitive to different instances in the same class, which is prone to make prediction models confuse the ...
Nana Fan +4 more
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IEEE Transactions on Geoscience and Remote Sensing, 2022
Noise in field seismic data is usually complicated. Most signal-to-noise (S/N) ratio enhancement methods are designed for some specific noise type and they will become less effective when dealing with complex noise.
Chao Zhang, M. Baan
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Noise in field seismic data is usually complicated. Most signal-to-noise (S/N) ratio enhancement methods are designed for some specific noise type and they will become less effective when dealing with complex noise.
Chao Zhang, M. Baan
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Suppression and stabilisation of noise
International Journal of Control, 2009In this article, we investigate the stochastic suppression and stabilisation of nonlinear systems. Given an unstable differential equation , in which f satisfies the one-sided polynomial growth condition, we introduce two Brownian noise feedbacks and therefore stochastically perturb this system into the nonlinear stochastic differential equation . This
Fuke Wu, Shigeng Hu
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A fully unsupervised and highly generalized deep learning approach for random noise suppression
Geophysical Prospecting, 2021In this study, we proposed a deep learning algorithm (PATCHUNET) to suppress random noise and preserve the coherent seismic signal. The input data are divided into several patches, and each patch is encoded to extract the meaningful features.
O. Saad, Yangkang Zhang
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Magnetotelluric noise suppression via convolutional neural network
Geophysics, 2022It is well known that a magnetotelluric (MT) signal with high signal-to-noise ratio is an important prerequisite for correct interpretation of subsurface structures.
Jin Li +3 more
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System for noise suppression, transceiver and method for noise suppression
The Journal of the Acoustical Society of America, 2006A system with an accompanying method is provided to improve the signal-to-noise ratio (SNR) of noisy speech by suppressing acoustic background noise. The background noise consists of narrow band noise from rotating machine, audio signals from stereo-loudspeakers of audio entertainment device, and other ambient noise.
Ming Zhang, Hui Lan
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Study on model-based pump noise suppression method of mud pulse signal
, 2021Mud pulse telemetry system plays a critical role in modern oil drilling engineering. However, the valid signal is complicated to be obtained because of the main disturbing of pump noises, especially in ultra-deep drilling operations.
Guo Chen +5 more
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IEEE transactions on industrial electronics (1982. Print)
It is well-known that there is a trade-off between robustness to disturbances and measurement noise sensitivity in the active disturbance rejection control (ADRC) framework based on extended state observer (ESO).
Haiyang Cao +5 more
semanticscholar +1 more source
It is well-known that there is a trade-off between robustness to disturbances and measurement noise sensitivity in the active disturbance rejection control (ADRC) framework based on extended state observer (ESO).
Haiyang Cao +5 more
semanticscholar +1 more source