ArticleCognitive neurodynamics2024
A real-time constellation image classification method of wireless communication signals based on the lightweight network MobileViT.
Article in Cognitive neurodynamics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Fine art image classification and design methods integrating lightweight deep learning.Scientific reports · 2025Article
- MFCA-Transformer: Modulation Signal Recognition Based on Multidimensional Feature Fusion.Sensors (Basel, Switzerland) · 2025Article
- A novel deep learning framework for retinal disease detection leveraging contextual and local features cues from retinal images.Medical & biological engineering & computing · 2025Article
- Traffic flow prediction based on improved deep extreme learning machine.Scientific reports · 2025Article
- Deep Learning-Based Algorithm for Road Defect Detection.Sensors (Basel, Switzerland) · 2025Article
- Enhancing lane detection in autonomous vehicles with multi-armed bandit ensemble learning.Scientific reports · 2025Article
- Integrating deformable CNN and attention mechanism into multi-scale graph neural network for few-shot image classification.Scientific reports · 2025Article
- Ensemble genetic and CNN model-based image classification by enhancing hyperparameter tuning.Scientific reports · 2025Article
- A multi-agent reinforcement learning based approach for automatic filter pruning.Scientific reports · 2024Article
- New Method for Tomato Disease Detection Based on Image Segmentation and Cycle-GAN Enhancement.Sensors (Basel, Switzerland) · 2024Article
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Authors and funding
6 authors.
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Abstract
Automatic modulation classification (AMC) is a challenging topic in the development of cognitive radio, which can sense and learn surrounding electromagnetic environments and help to make corresponding decisions. In this paper, we propose to complete the real-time AMC through constructing a lightweight neural network MobileViT driven by the clustered constellation images. Firstly, the clustered constellation images are transformed from
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