Results 11 to 20 of about 97,815 (271)
Modulation pattern recognition method of wireless communication automatic system based on IABLN algorithm in intelligent system. [PDF]
PLoS ONEThe aim of this study is to address the limitations of convolutional networks in recognizing modulation patterns. These networks are unable to utilize temporal information effectively for feature extraction and modulation pattern recognition, resulting ...
Ting Xie, Xing Han
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Deep Learning for Recognition of Digital Modulations: A Detailed Study [PDF]
AUT Journal of Electrical Engineering, 2022 The automatic modulation recognition of the received signal is very attractive in both military and civilian applications. In the recent years, deep learning techniques have received much attention due to their excellent performance in signal, audio ...
MohammadMohsen Jadidi, Abbas Mohammadi
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Domain Adaptation-Based Automatic Modulation Recognition [PDF]
Scientific Programming, 2021 Deep learning-based Automatic Modulation Recognition (AMR) can improve the recognition rate compared with traditional AMR methods. However, in practical applications, as training samples and real scenario signal samples have different distributions in practical applications, the recognition rate for target domain samples can deteriorate significantly ...
Tong Li, Yingzhe Xiao
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Automatic Modulation Recognition Based on Deep Learning [PDF]
Jisuanji kexue, 2022 Automatic modulation recognition (AMR) is critical to realize efficient spectrum sensing,spectrum management and spectrum utilization in non-cooperative communication scenarios.It is also an important prerequisite for efficient signal proces-sing ...
JIAO Xiang, WEI Xiang-lin, XUE Yu, WANG Chao, DUAN Qiang
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MOD3NN: A Framework for Automatic Signal Modulation Detection Using 3D CNN
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023 In this work, we present an application of a three-dimensional convolutional neural network for the task of automatic modulation recognition from raw I/Q signal data.
Vishal Perekadan +5 more
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Modulation Recognition Algorithm of Digital and Analog Mixed Signal Based on Neural Network [PDF]
Jisuanji gongcheng, 2016 The modulation recognition technology of communication signal can be used in signal confirmation,interference identification,electronic warfare combat and intersatellite link communication.Aiming at the problem of the low signal modulation recognition ...
NIU Guoqing,YAO Xiujuan,YAN Yi,WANG Chunmei
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IET Radar, Sonar & Navigation, 2021 The newly developed cognitive radar (CR) can implement flexible work modes defined with a set of mode definition parameters. Each definition parameter can employ its modulation type and corresponding optimised modulating values. Automatic recognition and
Mengtao Zhu +3 more
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Automatic Modulation Recognition Method Based on Multimodal Time-Frequency Feature Fusion [PDF]
Jisuanji kexue, 2023 Automatic modulation recognition (AMR) is a key technology in cognitive radio and has a wide range of applications in wireless communication.Aiming at the problem that most of the existing automatic modulation classification methods only use the single ...
HE Chao, CHEN Jinjie, JIN Zhao, LEI Yinjie
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Onset of word form recognition in English, Welsh, and English-Welsh bilingual infants [PDF]
, 2007 Children raised in the home as English or Welsh monolinguals or English–Welsh bilinguals were tested on untrained word form recognition using both behavioral and neurophysiological procedures.
Keren-Portnoy, Tamar +4 more
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The Effect of Limited Attention and Delay on Negative Arousing False Memories [PDF]
, 2018 Previous research has shown that, in comparison to neutral stimuli, false memories for high arousing negative stimuli are greater after very fast presentation and limited attention at study.
Knott, L., Shah, D.
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