Results 21 to 30 of about 96,602 (273)
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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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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Effects in the affect misattribution procedure are modulated by feature-specific attention allocation [PDF]
, 2016 We examined whether automatic stimulus evaluation as measured by the Affect Misattribution Procedure (AMP) is moderated by the degree to which attention is assigned to the evaluative stimulus dimension (i.e., feature-specific attention allocation, FSAA).
De Houwer, Jan +2 more
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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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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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Classification of multiple electromagnetic interference events in high-voltage power plant [PDF]
, 2018 This paper addresses condition assessment of electrical assets contained in high voltage power plants. Our work introduces a novel analysis approach of multiple event signals related to faults, and which are measured using Electro-Magnetic Interference ...
Boreham, Philip +5 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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Training Images Generation for CNN Based Automatic Modulation Classification
IEEE Access, 2021 Convolutional neural network (CNN) models have recently demonstrated impressive classification and recognition performance on image and video processing scope.
Wei-Tao Zhang, Dan Cui, Shun-Tian Lou
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Multiperiodic Galactic field RR Lyrae stars in the ASAS catalog [PDF]
, 2007 The All Sky Automated Survey (ASAS) monitors bright stars (8 mag < V < 14 mag) south of declination +28 deg. The ASAS Catalogue of Variable Stars (ACVS) presently contains 50,099 objects; among them are 2212 objects classified as RR Lyrae pulsating ...
Fabrycky, D. C., Szczygiel, D. M.
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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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