Signal Separation Operator Based on Wavelet Transform for Non-Stationary Signal Decomposition [PDF]
SensorsThis paper develops a new frame for non-stationary signal separation, which is a combination of wavelet transform, clustering strategy and local maximum approximation.
Ningning Han, Yongzhen Pei, Zhanjie Song
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Fractional Fourier Transform-Based Signal Separation for Ultrasonic Guided Wave Inspection of Plates [PDF]
SensorsDetecting defects in plates is crucial across various industries due to safety risks. While ultrasonic bulk waves offer point-by-point inspections, they are time-consuming and limited in coverage.
Chengxiang Peng +4 more
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Time–Frequency Mask-Aware Bidirectional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation [PDF]
Sensors, 2022 Underwater acoustic signal separation is a key technique for underwater communications. The existing methods are mostly model-based, and cannot accurately characterize the practical underwater acoustic communication environment.
Jie Chen +4 more
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An Overlapping-Signal Separation Algorithm Based on a Self-Attention Neural Network for Space-Based ADS-B [PDF]
SensorsSpace-based automatic dependent surveillance–broadcast (ADS-B) systems offer the potential for comprehensive global aircraft surveillance. However, they face substantial challenges due to severe signal collisions resulting from the simultaneous reception
Ziwei Liu +5 more
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LS Channel Estimation and Signal Separation for UHF RFID Tag Collision Recovery on the Physical Layer [PDF]
Sensors, 2016 In a passive ultra-high frequency (UHF) radio-frequency identification (RFID) system, tag collision is generally resolved on a medium access control (MAC) layer. However, some of collided tag signals could be recovered on a physical (PHY) layer and, thus,
Hanjun Duan +3 more
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A Novel Signal Separation and De-Noising Technique for Doppler Radar Vital Signal Detection [PDF]
Sensors, 2019 Li X +5 more
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Metabolic Reprogramming and Its Relationship to Survival in Hepatocellular Carcinoma
Cells, 2022 Hepatocarcinogenesis is frequently accompanied by substantial metabolic reprogramming to maximize the growth and proliferation of cancer cells. In this study, we carried out a comprehensive study of metabolomics and lipidomics profiles combined with gene
Qingqing Wang +8 more
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DSENet: Directional Signal Extraction Network for Hearing Improvement on Edge Devices
IEEE Access, 2023 In this paper, we propose a directional signal extraction network (DSENet). DSENet is a low-latency, real-time neural network that, given a reverberant mixture of signals captured by a microphone array, aims at extracting the reverberant signal whose ...
Anton Kovalyov +2 more
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Applied Sciences, 2021 In this paper, a method for automatically separating the mixed circular fringe patterns based on the fractional Fourier transform (FrFT) analysis is proposed.
Hsuan-Ting Chang +5 more
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Adaptive Complex Variational Mode Decomposition for Micro-Motion Signal Processing Applications
Sensors, 2021 In order to suppress the strong clutter component and separate the effective fretting component from narrow-band radar echo, a method based on complex variational mode decomposition (CVMD) is proposed in this paper.
Saiqiang Xia +5 more
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