Results 21 to 30 of about 26,456 (261)
Sensors, 2017 As the sound signal of ships obtained by sensors contains other many significant characteristics of ships and called ship-radiated noise (SN), research into a denoising algorithm and its application has obtained great significance. Using the advantage of
Yuxing Li, Yaan Li, Xiao Chen, Jing Yu
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A novel denoising method for non‐linear and non‐stationary signals
IET Signal Processing, 2023 Signal denoising is a crucial step in signal analysis. Various procedures have been attempted by researchers to remove the noise while preserving the effective components of the signal. One of the most successful denoising methods currently in use is the
Honglin Wu +6 more
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Atmosphere, 2021 The lidar is susceptible to the dark current of the detector and the background light during the measuring process, which results in a significant amount of noise in the lidar return signal.
Minghuan Hu +4 more
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Denoising of MEMS Vector Hydrophone Signal Based on Empirical Model Wavelet Method
Proceedings, 2019 Underwater acoustic technology is a major method in current ocean research and exploration, which support the detection of seabed environment and marine life.
Huichao Yan, Linmei Zhang
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Impact-Type Sunflower Yield Sensor Signal Denoising Method Based on CEEMD-WTD
Agriculture, 2023 During the crop harvesting process, it is important to obtain the crop yield quickly, accurately and in real time to accelerate the development of smart agriculture. This paper investigated a denoising method applicable to the impact-type sunflower yield
Shuai Wang +5 more
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Denoising method of vibration signal of roadheader based on the optimal wavelet basis selectio
Gong-kuang zidonghua, 2016 In order to improve wavelet packet denoising effect for vibration signal of roadheader and avoid influence of noise on signal feature extraction mostly, the paper proposed a denoising method of vibration signal of roadheader based on the optimal wavelet ...
LI Dongyu +4 more
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Auto-Denoising for EEG Signals Using Generative Adversarial Network
Sensors, 2022 The brain–computer interface (BCI) has many applications in various fields. In EEG-based research, an essential step is signal denoising. In this paper, a generative adversarial network (GAN)-based denoising method is proposed to denoise the multichannel
Yang An, Hak Keung Lam, Sai Ho Ling
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Shock and Vibration, 2021 Recently, the High-G MEMS accelerometer (HGMA) has been used in navigation, mechanical property detection, consumer electronics, and other fields widely.
Huiliang Cao +6 more
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Method for Denoising the Vibration Signal of Rotating Machinery through VMD and MODWPT
Sensors, 2023 The vibration signals from rotating machinery are constantly mixed with other noises during the acquisition process, which has a negative impact on the accuracy of signal feature extraction. For vibration signals from rotating machinery, the conventional
Xiaolong Zhou +5 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano +11 more
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