86   Artículos

 
en línea
Nicola Casari, Ettore Fadiga, Stefano Oliani, Mattia Piovan, Michele Pinelli and Alessio Suman    
Automotive fans, small wind turbines, and manned and unmanned aerial vehicles (MAVs/UAVs) are just a few examples in which noise generated by the flow?s interaction with aerodynamic surfaces is a major concern. The current work shows the potential of a n... ver más

 
en línea
Jiarui Xia and Yongshou Dai    
Ground roll noise suppression is a crucial step in processing deep pre-stack seismic data. Recently, supervised deep learning methods have gained popularity in this field due to their ability to adaptively learn and extract powerful features. However, th... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ping-Chang Tsai, Yu-Min Hsueh, Chang-Kuo Chen and Cheng-Chien Kuo    
Partial discharge (PD) characteristics are very important for the diagnosis of damaged transformation equipment. If the power transmission and transformation equipment fails, it will cause large economic losses, and thus prevention is better than treatme... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Haoyu Lin, Pengkun Quan, Zhuo Liang, Dongbo Wei and Shichun Di    
With the rise of electric vehicles, autonomous driving, and valet parking technologies, considerable research has been dedicated to automatic charging solutions. While the current focus lies on charging robot design and the visual positioning of charging... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Zaiyuan Wang, Jiehao Wang, Fan Li, Yuhang Li, Long Tian and Qiang Liu    
We present a low-intensity noise single-frequency Yb-doped all-fiber amplifier oriented to space-borne gravitational wave detection. Relative intensity noise (RIN) below -70 dBc/Hz @ 1 mHz~1 Hz was achieved by virtue of feedback-loop-based intensity nois... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Tianwei Lan, Zhaofa Zeng, Liguo Han and Jingwen Zeng    
The neural network denoising technique has achieved impressive results by being able to automatically learn the effective signal from the data without any assumptions. However, it has been found experimentally that the performance of the method using neu... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yu Ning, Yong-Ping Jin, You-Duo Peng and Jian Yan    
Efficient underwater visual environment perception is the key to realizing the autonomous operation of underwater robots. Because of the complex and diverse underwater environment, the underwater images not only have different degrees of color cast but a... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Chung-Ke Yu, Ding-Bing Lin and Hsin-Piao Lin    
A novel wideband common-mode (CM) suppression filter is proposed for high-speed transmission. The filter is embedded in 3 10 mm × 10 mm layers of a printed circuit board (PCB) that combines a mushroom structure and a defected corrugated reference plane s... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Juan Chen, Zhencai Zhu, Haiying Hu, Lin Qiu, Zhenzhen Zheng and Lei Dong    
Infrared (IR) Image preprocessing is aimed at image denoising and enhancement to help with small target detection. According to the sparse representation theory, the IR original image is low rank, and the coefficient shows a sparse character. The low ran... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Artem T. Turov, Yuri A. Konstantinov, Fedor L. Barkov, Dmitry A. Korobko, Igor O. Zolotovskii, Cesar A. Lopez-Mercado and Andrei A. Fotiadi    
Moving differential and dynamic window moving averaging are simple and well-known signal processing algorithms. However, the most common methods of obtaining sufficient signal-to-noise ratios in distributed acoustic sensing use expensive and precise equi... ver más
Revista: Algorithms    Formato: Electrónico

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