3 papers
eess.SP2026
RFSS: A Multi-Standard RF Signal Source Separation Dataset with 3GPP-Standardized Channel and Hardware Impairments
Hao Chen, Rui Jin, Dayuan Tan
The coexistence of heterogeneous cellular standards (2G-5G) in shared spectrum demands sophisticated RF source separation techniques, yet no public dataset exists for data-driven r…
eess.SP2025
RFSS: A Comprehensive Multi-Standard RF Signal Source Separation Dataset with Advanced Channel Modeling
Hao Chen, Rui Jin, Dayuan Tan
The rapid evolution of wireless communication systems has created complex electromagnetic environments where multiple cellular standards (2G/3G/4G/5G) coexist, necessitating advanc…
eess.SP2025
Weakly Supervised Convolutional Dictionary Learning for Multi-Label Classification
Hao Chen, Dayuan Tan
Convolutional Dictionary Learning (CDL) has emerged as a powerful approach for signal representation by learning translation-invariant features through convolution operations. Whil…