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Found 5 papers, 4 papers with code
Deep Learning Based Automatic Modulation Recognition: Models, Datasets, and Challenges
Automatic modulation recognition (AMR) detects the modulation scheme of the received signals for further signal processing without needing prior information, and provides the essential function when such information is missing.
An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation
Automatic modulation recognition (AMR) is a promising technology for intelligent communication receivers to detect signal modulation schemes.
OH-Former: Omni-Relational High-Order Transformer for Person Re-Identification
Transformers have shown preferable performance on many vision tasks.
Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual Similarity
In this paper we propose a novel multidirectional fusion and perception network for change detection in bi-temporal very-high-resolution remote sensing images.
Change Detection
Change detection for remote sensing images
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A Spatiotemporal Multi-Channel Learning Framework for Automatic Modulation Recognition
Automatic modulation recognition (AMR) plays a vital role in modern communication systems.
