5 papers
Mean Velocity Matching: Rethinking Generative Dynamics in Diffusion Models
Yunhong Zhang, Changjie Cao, Zhihua Zhang +4
This work studies prediction parameterization for stochastic generative dynamics in diffusion models. Existing velocity-based generative models provide the simplicity of learning a…
A Unified Backbone--Expert Framework with Relation-Token and Residual--Classifier Interfaces for Automatic Modulation Recognition
Zhixiang Deng, Houbiao Li, Zongyong Cui
Automatic modulation recognition (AMR) faces distinct representation bottlenecks under varying observation lengths, where a single model architecture often fails to excel. To addre…
Cross-Fitted Residual Utility for Primary-Preserving Cognitive Decision Correction in Automatic Modulation Classification
Linzhuo Han, Zongyong Cui, Houbiao Li
Automatic modulation classification research has largely emphasized representation accuracy, but a cognitive receiver must also decide when heterogeneous evidence justifies overrid…
A Generalized Deep Non-negative Matrix Factorization Approach for SAR Automatic Target Recognition
Yunhong Zhang, Changjie Cao, Zhongli Zhou +4
The deep nonnegative matrix factorization (DNMF) technique is proposed to address the low interpretability of deep learning-based methods in extracting multilayer features from syn…
FSCE: A Target-Aware Frequency-Spatial Collaborative Enhancement Framework for Noise-Resilient SAR ATR
Yansong Lin, Zihan Cheng, Ziyue Yang +5
Synthetic aperture radar automatic target recognition (SAR ATR) is severely challenged by coherent speckle noise, whose interference can be progressively amplified by hierarchical…