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Automatic Modulation Recognition for Secondary Modulated Signals
IEEE Wireless Communications Letters, 2021Automatic modulation recognition (AMR) for secondary modulated signals, remains as a bottleneck, since both analog and digital modulation are adopted in one signal. To address this issue, we focus on the original signal spectrum and the 2nd order spectrum of the pre-demodulated signal, which imply modulation features.
Peng Chu +3 more
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Modulation Recognition With Graph Convolutional Network
IEEE Wireless Communications Letters, 2020In most non-cooperative communication systems, modulation recognition is a fundamental and critical technique. Traditional methods of modulation recognition can be categorized as maximum likelihood hypothesis algorithms and pattern recognition algorithms. However, these methods have high complexities or need additional data preprocessing.
Yabo Liu, Yi Liu
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Automatic modulation recognition—I
Journal of the Franklin Institute, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Azzouz, E. E., Nandi, A. K.
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CNN-based automatic modulation recognition for index modulation systems [PDF]
Expert Systems With Applications, 2023 Automatic modulation recognition (AMR) has garnered significant attention in both civilian and military domains, with applications ranging from spectrum sensing and cognitive radio (CR) to the deterrence of adversary communication.
Murtaza Cicioğlu +2 more
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Attention Pyramid Module for Scene Recognition
2020 25th International Conference on Pattern Recognition (ICPR), 2021The unrestricted open vocabulary and diverse substances of scenery images bring significant challenges to scene recognition. However, most deep learning architectures and attention methods are developed on general-purpose datasets and omit the characteristics of scene data.
Zhinan Qiao +3 more
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Affective modulation of recognition bias.
Emotion, 2005A correspondence of processing on the familiarity-novelty and positive-negative dimensions, particularly in the earliest processing stages, is proposed. Familiarity manipulations should, therefore, not only influence affective evaluations (e.g., the mere exposure effect), but affective manipulations should also bias familiarity judgments (e.g., in ...
Phaf, R.H., Rotteveel, M.
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Automatic analogue modulation recognition
Signal Processing, 1995zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nandi K. Nandi, Elsayed Elsayed Azzouz
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Communication System Recognition by Modulation Recognition
2004Communication system recognition is major part of some civilian and military applications. The recognition of the system is done by inspecting the received signal properties like modulation type, carrier frequency, baud rate and so on. Therefore we need Automatic Modulation Recognition (AMR) methods plus carrier and baud rate estimation methods.
Ali Reza Attar +2 more
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Modulation features for speech recognition
IEEE International Conference on Acoustics Speech and Signal Processing, 2002Automatic speech recognition (ASR) systems can benefit from including into their acoustic processing part new features that account for various nonlinear and time-varying phenomena during speech production. In this paper, we develop robust methods to extract novel acoustic features from speech signals of the modulation type based on time-varying models
Dimitrios Dimitriadis +2 more
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MODELESS: MODulation rEcognition with LimitEd SuperviSion
2021 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), 2021Modulation recognition (modrec) is an essential transmitter fingerprinting task that enables future spectrum-sharing applications such as access management and enforcement. Traditional supervised modrec requires labeled training data for all target modulations, which cannot be readily met with the advent of new, customized and data-driven waveforms ...
Wei Xiong 0013 +2 more
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