26   Artículos

 
en línea
Bochi Guo, Yu Liu, Hui Zhou, Wei Yan and Shuanggen Zhang    
Automatic modulation recognition (AMR) provides excellent performance advantages over conventional algorithms and plays a key role in modern communication. However, a general challenge is that the channel errors greatly deteriorate the classification cap... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Zhi Quan, Hailong Zhang, Jiyu Luo and Haijun Sun    
Signal modulation recognition is often reliant on clustering algorithms. The fuzzy c-means (FCM) algorithm, which is commonly used for such tasks, often converges to local optima. This presents a challenge, particularly in low-signal-to-noise-ratio (SNR)... ver más
Revista: Information    Formato: Electrónico

 
en línea
Min Ma, Shanrong Liu, Shufei Wang and Shengnan Shi    
Automatic modulation classification (AMC) plays a crucial role in wireless communication by identifying the modulation scheme of received signals, bridging signal reception and demodulation. Its main challenge lies in performing accurate signal processin... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Run Zhang, Chengbing He, Lianyou Jing, Chaopeng Zhou, Chao Long and Jiachao Li    
Underwater acoustic channels, influenced by time-varying, space-varying, frequency-varying, and multipath effects, pose significant interference challenges to underwater acoustic communication (UWAC) signals, especially in non-cooperative scenarios. The ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Zhichao Peng, Wenhua He, Yongwei Li, Yegang Du and Jianwu Dang    
Speech emotion recognition is a critical component for achieving natural human?robot interaction. The modulation-filtered cochleagram is a feature based on auditory modulation perception, which contains multi-dimensional spectral?temporal modulation repr... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Hengcong Huang, Luyao Wang, Xiaoyu Zhang, Hongshuo Zhao and Yifan Gu    
CO2 represents a typical impurity in light hydrocarbon feedstocks, which affects the quality of subsequent chemical products. Owing to their highly similar nature, industrial separation requires large amounts of energy. Adsorptive gas separation based on... ver más
Revista: Clean Technologies    Formato: Electrónico

 
en línea
Linkai Peng, Yingming Gao, Rian Bao, Ya Li and Jinsong Zhang    
As an indispensable module of computer-aided pronunciation training (CAPT) systems, mispronunciation detection and diagnosis (MDD) techniques have attracted a lot of attention from academia and industry over the past decade. To train robust MDD models, t... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
David Góez, Paola Soto, Steven Latré, Natalia Gaviria and Miguel Camelo    
Next-generation communication systems will face new challenges related to efficiently managing the available resources, such as the radio spectrum. DL is one of the optimization approaches to address and solve these challenges. However, there is a gap be... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Xiaoji Li, Jiemei Huang and Leiming Sun    
With the advancement of underwater communication technology, the traditional modulation dimension has been introduced, developed and utilized. In addition, orbital angular momentum (OAM) is utilized as the modulation dimension for optical underwater comm... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Jiangkun Gong, Deren Li, Jun Yan, Huiping Hu and Deyong Kong    
Current studies rarely mention radar detection of hybrid vertical take-off and landing (VTOL) fixed-wing drones. We investigated radar signals of an industry-tier VTOL fixed-wing drone, TX25A, compared with the radar detection results of a quad-rotor dro... ver más
Revista: Drones    Formato: Electrónico

« Anterior     Página: 1 de 2     Siguiente »