Deep Learning-Aided Modulation Recognition for Non-Orthogonal Signals [PDF]
Sensors, 2023 Automatic Modulation Recognition (AMR) can obtain the modulation mode of the received signal for subsequent processing without the assistance of the transmitter. Although the existing AMR methods have been mature for the orthogonal signals, these methods
Jiaqi Fan +5 more
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Tackling Few-Shot Challenges in Automatic Modulation Recognition: A Multi-Level Comparative Relation Network Combining Class Reconstruction Strategy [PDF]
SensorsAutomatic Modulation Recognition (AMR) is a key technology in the field of cognitive communication, playing a core role in many applications, especially in wireless security issues.
Zhao Ma +4 more
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IEEE Access, 2022 Recognition of the modulation scheme is the intermediate step between signal detection and demodulation of the received signal in communication networks.
Sam Ansari +4 more
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Band-pass filtering of the time sequences of spectral parameters for robust wireless speech recognition [PDF]
, 2006 In this paper we address the problem of automatic speech recognition when wireless speech communication systems are involved. In this context, three main sources of distortion should be considered: acoustic environment, speech coding and transmission ...
Peláez-Moreno, Carmen +11 more
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Linear equalization of the modulation spectra: a novel approach for noisy speech recognition [PDF]
, 2003 The paper tackles the problem of noisy speech recognition. In particular, we present a novel approach to the design of filters for processing the modulation spectrum, that we call linear equalization.
Peláez-Moreno, Carmen +10 more
core +1 more source
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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Evaluation of Machine Learning Algorithms for Automatic Modulation Recognition
, 2021 Automatic modulation recognition (AMR) becomes more important because of usable in advanced general-purpose communication such as cognitive radio as well as specific applications.
Kavurucu, Yusuf +3 more
core +1 more source
MIDW‐Net: A multi‐tasking network architecture for radar intra‐pulse parameter description
Electronics Letters, 2023 The automatic modulation recognition (AMR) of radar signals has become a popular research topic in recent years. However, most algorithms focus on the type of signal modulation and lack further understanding of the signal.
Tao Chen, Yu Lei, Limin Guo, Boyi Yang
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Universal and complementary representation learning for automatic modulation recognition
Electronics Letters, 2023 Automatic modulation recognition (AMR) is a fundamental research topic in the field of signal processing and wireless communication, which has widespread applications in cognitive radio, non‐collaborative communication etc. In this paper, the focus is on
Bohan Liu +4 more
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Automatic Modulation Recognition Based on a DCN-BiLSTM Network
Sensors, 2021 Automatic modulation recognition (AMR) is a significant technology in noncooperative wireless communication systems. This paper proposes a deep complex network that cascades the bidirectional long short-term memory network (DCN-BiLSTM) for AMR.
Kai Liu, Wanjun Gao, Qinghua Huang
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