3 papers
cs.LG2024
BiLSTM and Attention-Based Modulation Classification of Realistic Wireless Signals
Rohit Udaiwal, Nayan Baishya, Yash Gupta +1
This work proposes a novel and efficient quadstream BiLSTM-Attention network, abbreviated as QSLA network, for robust automatic modulation classification (AMC) of wireless signals.…
eess.SP2024
Adversarial Robustness of Distilled and Pruned Deep Learning-based Wireless Classifiers
Nayan Moni Baishya, B. R. Manoj
Data-driven deep learning (DL) techniques developed for automatic modulation classification (AMC) of wireless signals are vulnerable to adversarial attacks. This poses a severe sec…
eess.SP2024
Edge-Efficient Deep Learning Models for Automatic Modulation Classification: A Performance Analysis
Nayan Moni Baishya, B. R. Manoj, Prabin K. Bora
The recent advancement in deep learning (DL) for automatic modulation classification (AMC) of wireless signals has encouraged numerous possible applications on resource-constrained…