1 citations · 1 across the 6 of their papers we have counts for
6 papers
Zero-Knowledge Remote Adversarial Attack against Wi-Fi-based Human Activity Recognition for Privacy Protection
Byungjun Kim, Amogh Panchagatti, Peter Gerstoft +2
The growing capability of Wi-Fi devices to identify human activities using channel state information (CSI) raises privacy concerns. To counter this threat, we propose GRAW, an adve…
Mitigating Spectral Bias in Neural Operators for Underwater Transmission Loss Prediction
Yifan Sun, Shikai Fang, Chao Zhang +3
Predicting underwater acoustic transmission loss rapidly and accurately is crucial for real-time ocean acoustic applications. While Fourier Neural Operators (FNO) have emerged as p…
When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learning
Siyuan Li, Shikai Fang, Lei Cheng +4
Functional tensor decomposition can analyze multi-dimensional data with real-valued indices, paving the path for applications in machine learning and signal processing. A limitatio…
Hankel-FNO: Fast Underwater Acoustic Charting Via Physics-Encoded Fourier Neural Operator
Yifan Sun, Lei Cheng, Jianlong Li +1
Fast and accurate underwater acoustic charting is crucial for downstream tasks such as environment-aware sensor placement optimization and autonomous vehicle path planning. Convent…
Deep Learning-based Modulation Classification of Practical OFDM Signals for Spectrum Sensing
Byungjun Kim, Christoph Mecklenbräuker, Peter Gerstoft
In this study, the modulation of symbols on OFDM subcarriers is classified for transmissions following Wi-Fi~6 and 5G downlink specifications. First, our approach estimates the OFD…
Non-uniform Array and Frequency Spacing for Regularization-free Gridless DOA
Yifan Wu, Michael B. Wakin, Peter Gerstoft
Gridless direction-of-arrival (DOA) estimation with multiple frequencies can be applied in acoustics source localization problems. We formulate this as an atomic norm minimization…