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A novel method for automatic modulation recognition
Applied Soft Computing Journal, 2012Automatic recognition of the digital modulation plays an important role in various applications. This paper investigates the design of an accurate system for recognition of digital modulations. First, it is introduced an efficient pattern recognition system that includes two main modules: the feature extraction module and the classifier module. Feature
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An effective algorithm for automatic modulation recognition
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014Based on the previous studies, this article proposes an effective modulation recognition algorithm which is a combination of Higher Order Cumulants (HOC) and Continues Wavelet Transform (CWT). In the Additive White Gaussian Noise (AWGN) the identification of QAM16, QAM32, QAM64, BPSK, QPSK and PSK8 types of modulation were almost successful.
Saeed Ghasemi, Ali Gangal
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Speech recognition using the modulation model
IEEE International Conference on Acoustics Speech and Signal Processing, 1993A set of features and classification metric based on the modulation model (MM) for speech recognition are presented. The MM decomposes speech into amplitude and frequency modulated components. Computer simulations are presented that demonstrate the robustness to aging of the MM-based features when these features are employed for speech recognition. >
Khaled T. Assaleh +3 more
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A Deep Learning approach for Modulation Recognition
2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 2018Communication signal modulation recognition refers to a process of automatically processing a received signal and determining its modulation type. As an intermediate part of signal detection and demodulation, modulation recognition technology plays an important role in a variety of civilian and military applications such as cognitive radio, electronic ...
Yu Zhang +3 more
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A Survey on modulation recognition
2020ABSTRACT A SURVEY ON MODULATION RECOGNITION ATEŞ, Öznur MSc, Department of Electrical and Electronic Engineering Supervisor: Prof. Dr. Yalçın TANK DECEMBER 2002, 104 pages In this work, automatic recognition algorithms for analogue modulated signals are surveyed. Modulation recognition algorithms mostly rely on the extracted features.
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Modulation recognition technology based on ResNet50
2023 6th International Conference on Signal Processing and Machine Learning (SPML), 2023Hong Zhang 0058 +3 more
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Deep learning based automatic modulation recognition: Models, datasets, and challenges
Digital Signal Processing, 2022Chunbo Luo, Jialang Xu, Fuxin Zhang
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Learning of Time-Frequency Attention Mechanism for Automatic Modulation Recognition
IEEE Wireless Communications Letters, 2022Yi Gong, Yuan Zeng, Shangao Lin
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Open Set Recognition of Communication Signal Modulation Based on Deep Learning
IEEE Communications Letters, 2022Li Tianyun, Xiong Zha, Xinliang Zhang
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