Results 21 to 30 of about 2,801 (166)

JMRPE‐Net: Joint modulation recognition and parameter estimation of cognitive radar signals with a deep multitask network

open access: yesIET Radar, Sonar & Navigation, 2021
The newly developed cognitive radar (CR) can implement flexible work modes defined with a set of mode definition parameters. Each definition parameter can employ its modulation type and corresponding optimised modulating values. Automatic recognition and
Mengtao Zhu   +3 more
doaj   +1 more source

Automatic Digital Modulation Recognition Based on Genetic-Algorithm-Optimized Machine Learning Models

open access: yesIEEE 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
doaj   +1 more source

Automatic Modulation Recognition Method Based on Multimodal Time-Frequency Feature Fusion [PDF]

open access: yesJisuanji 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
doaj   +1 more source

Band-pass filtering of the time sequences of spectral parameters for robust wireless speech recognition [PDF]

open access: yes, 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 ...
Díaz de María, Fernando   +3 more
core   +2 more sources

Defending AI-Based Automatic Modulation Recognition Models Against Adversarial Attacks

open access: yesIEEE Access, 2023
Automatic Modulation Recognition (AMR) is one of the critical steps in the signal processing chain of wireless networks, which can significantly improve communication performance. AMR detects the modulation scheme of the received signal without any prior
Haolin Tang   +4 more
doaj   +1 more source

MIDW‐Net: A multi‐tasking network architecture for radar intra‐pulse parameter description

open access: yesElectronics 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
doaj   +1 more source

Targeting Mannitol Metabolism as an Alternative Antimicrobial Strategy Based on the Structure-Function Study of Mannitol-1-Phosphate Dehydrogenase in Staphylococcus aureus [PDF]

open access: yes, 2019
Mannitol-1-phosphate dehydrogenase (M1PDH) is a key enzyme in Staphylococcus aureus mannitol metabolism, but its roles in pathophysiological settings have not been established.
Bae, Taeok   +9 more
core   +1 more source

Universal and complementary representation learning for automatic modulation recognition

open access: yesElectronics 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
doaj   +1 more source

Recognizing GSM Digital Speech [PDF]

open access: yes, 2005
The Global System for Mobile (GSM) environment encompasses three main problems for automatic speech recognition (ASR) systems: noisy scenarios, source coding distortion, and transmission errors. The first one has already received much attention; however,
Díaz de María, Fernando   +2 more
core   +3 more sources

Semi-supervised-based automatic modulation classification with domain adaptation for wireless IoT spectrum monitoring

open access: yesFrontiers in Physics, 2023
Dramatic advances in wireless networks have led to the Smart IoT, which may enable new modes of information transfer. Generally, data-driven advanced artificial intelligence (AI) techniques can be used in smart IoT networks, which prones to a lot of ...
Quan Zhou   +3 more
doaj   +1 more source

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