Results 21 to 30 of about 3,104,277 (280)
Applied Sciences, 2019 Recently, automatic modulation recognition has been an important research topic in wireless communication. Due to the application of deep learning, it is prospective of using convolution neural networks on raw in-phase and quadrature signals in ...
Mingxuan Li +3 more
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Multimodal attention-based deep learning for automatic modulation classification
Frontiers in Energy Research, 2022 Wireless Internet of Things (IoT) is widely accepted in data collection and transmission of power system, with the prerequisite that the base station of wireless IoT be compatible with a variety of digital modulation types to meet data transmission ...
Jia Han, Zhiyong Yu, Jian Yang
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Lightweight decentralized learning-based automatic modulation classification method
Tongxin xuebao, 2022 In order to solve the problems in centralized learning, a lightweight decentralized learning-based AMC method was proposed.By the proposed decentralized learning, a global model was trained through local training and model weight sharing, which made full
Jie YANG +4 more
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Adaptive procedure for automatic modulation recognition
Journal of Telecommunications and Information Technology, 2004 An adaptive procedure for automatic modulation recognition is described. With it the automatic modulation classification and recognition of radio communication signals with a priori unknown parameters is possible effectively.
Ferdinand Liedtke
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Automatic modulation classification using modulation fingerprint extraction [PDF]
Journal of Systems Engineering and Electronics, 2021 An automatic method for classifying frequency shift keying (FSK), minimum shift keying (MSK), phase shift keying (PSK), quadrature amplitude modulation (QAM), and orthogonal frequency division multiplexing (OFDM) is proposed by simultaneously using normality test, spectral analysis, and geometrical characteristics of in-phase-quadrature (I-Q ...
Norolahi Jafar +2 more
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Fusion Methods for CNN-Based Automatic Modulation Classification
IEEE Access, 2019 An automatic modulation classification has a very broad application in wireless communications. Recently, deep learning has been used to solve this problem and achieved superior performance.
Shilian Zheng +3 more
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IEEE Access, 2021 Automatic modulation classification (AMC) can play an important role in the timely identification of suspicious and unwanted signal activities to enable secure communication in future next-generation cellular networks.
Zeeshan Kaleem +5 more
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KNN BASED CLASSIFICATION OF DIGITAL MODULATED SIGNALS
International Islamic University Malaysia Engineering Journal, 2016 Demodulation process without the knowledge of modulation scheme requires Automatic Modulation Classification (AMC). When receiver has limited information about received signal then AMC become essential process. AMC finds important place in the field many
Sajjad Ahmed Ghauri
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Automatic object classification for surveillance videos. [PDF]
, 2012 PhDThe recent popularity of surveillance video systems, specially located in urban scenarios, demands the development of visual techniques for monitoring purposes.
Fernandez Arguedas, Virginia
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ResGatNet: Bridging Efficiency and Precision in Low-SNR Wireless Perception
IEEE AccessModulation recognition in low signal-to-noise ratio (SNR) environments poses significant challenges for existing deep learning models, particularly those based on the Vision Transformer (ViT).
Wangye Jiang +5 more
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