Results 31 to 40 of about 2,839,413 (151)
Frontiers 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
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Modulations-expert: A MATLAB GUI toolbox for automatic modulation recognition and blind demodulation
SoftwareXAutomatic modulation recognition (AMR) is an important task in non-cooperative and cognitive radio communications. This paper presents Modulations-Expert, a MATLAB-based graphical toolbox for automatic modulation recognition, dataset generation, feature ...
Mehdi Teimouri
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Automatic modulation recognition via aligned signals and key features
Electronics Letters, 2023 Deep learning‐based classification algorithms have been used for automatic modulation recognition (AMR). However, most methods only focus on end‐to‐end mapping and neglect the classic key features.
Fugang Liu +3 more
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Adversarial Robust Modulation Recognition Guided by Attention Mechanisms
IEEE Open Journal of Signal ProcessingDeep neural networks have demonstrated considerable effectiveness in recognizing complex communications signals through their applications in the tasks of automatic modulation recognition.
Quanhai Zhan +4 more
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Advanced Electronic Materials, EarlyView.This work presents a sustainable printing and recycling strategy for magnetic sensors designed for IoT applications. By combining solvent‐orthogonal binders with tailored magnetic fillers, the sensors achieve tunable sensitivity across low to high magnetic field ranges.
Rui Xu +6 more
wiley +1 more source
A Novel Attention Cooperative Framework for Automatic Modulation Recognition
IEEE Access, 2020 Modulation recognition plays an indispensable role in the field of wireless communications. In this paper, a novel attention cooperative framework based on deep learning is proposed to improve the accuracy of the automatic modulation recognition (AMR ...
Shiyao Chen +4 more
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IEEE Access, 2021 Automatic modulation recognition (AMR) has become increasingly important in the field of signal processing, especially with the advancements of intelligent communication systems.
Bachir Jdid +4 more
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Anode Materials Requirements for Potassium Ion Batteries: Challenges and Future Possibilities
EcoEnergy, EarlyView.This work identifies a critical scale‐up gap between laboratory battery research and industrial targets, driven by low active‐mass loadings and the omission of full‐cell metrics. We outline concrete strategies to bridge this divide, shifting focus toward high‐loading electrodes (> 3 mg cm−2) to ensure practical commercial viability of potassium ion ...
Md. Robiul Alam +9 more
wiley +1 more source
Recovery of High Order Statistics of PSK Signals Based on Low-Rank Matrix Completion
IEEE Access, 2023 High order statistics are useful for automatic modulation recognition and parameter estimations. In this paper, we cast the problem of recovering high order statistics of PSK signals taken from nonuniform compressive samples as a one of recovering a low ...
Zhengli Xing +4 more
doaj +1 more source
InfoScience, EarlyView.This study integrates a wrist‐worn sensing platform based on a low‐noise planar Hall magnetoresistive sensor with time‐series deep learning to enable long‐range, single‐sensor, multi‐command gesture recognition with high accuracy. Further evaluations show reliable generalization across different days, previously unseen users, wearing‐position ...
Guannan Mu +5 more
wiley +1 more source