Results 1 to 10 of about 535,234 (162)

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, Chang Liu, Jiawu Xie, Jie An, Nan Huang   +4 more
doaj   +4 more sources

Fractional Fourier Transform-Based Signal Separation for Ultrasonic Guided Wave Inspection of Plates [PDF]

Sensors
Detecting 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, Paul Annus, Marek Rist, Raul Land, Madis Ratassepp   +4 more
doaj   +2 more sources

An Overlapping-Signal Separation Algorithm Based on a Self-Attention Neural Network for Space-Based ADS-B [PDF]

Sensors
Space-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, Shuyi Tang, Yehua Cao, Shanshan Zhao, Leiyao Liao, Gengxin Zhang   +5 more
doaj   +2 more sources

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, Haifeng Wu, Yu Zeng, Yuebin Chen   +3 more
doaj   +2 more sources

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, Yexiong Tan, Tianyi Jiang, Xiaolin Wang, Qi Li, Yanli Li, Liwei Dong, Xinyu Liu, Guowang Xu   +8 more
doaj   +1 more source

Separation of Two-Dimensional Mixed Circular Fringe Patterns Based on Spectral Projection Property in Fractional Fourier Transform Domain

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, Tzu-Yao Lin, Chih-Hao Chuang, Chien-Yu Chen, Chian C. Ho, Chuan-Yu Chang   +5 more
doaj   +1 more source

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, Kashyap Patel, Issa Panahi   +2 more
doaj   +1 more source

Research on a Signal Separation Method Based on Vold-Kalman Filter of Improved Adaptive Instantaneous Frequency Estimation

IEEE Access, 2020
The fault vibration signal of rotating machinery system under strong background noise has the characteristics of non-stationary, non-Gaussian and complex components.
Yanfeng Li, Zhennan Han, Zhijian Wang
doaj   +1 more source

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, Jun Yang, Wanyong Cai, Chaowei Zhang, Liangfa Hua, Zibo Zhou   +5 more
doaj   +1 more source

Simultaneous Analysis of Vibrations and Noise in the Task of Minimizing Vibroacoustic Activity of Machines

Archives of Acoustics, 2016
Simultaneous propagation of vibrations and noise has an important role in the task of minimizing vibroacoustic hazards on the station of operator of the construction machinery.
Zbigniew DĄBROWSKI, Jacek DZIURDŹ
doaj   +1 more source