10 papers
Kernel Regression with Tensor Trains and Hadamard Overparameterization
Duc Thien Nguyen, Konstantinos Slavakis, Eleftherios Kofidis +1
Kernel regression with tensor trains and Hadamard overparameterization (KReTTaH) is introduced as a training-data-free, interpretable, and nonparametric framework for multi-way dat…
Taxonomy-aware deep learning for hierarchical marine species classification in underwater imagery
Dan Zimmerman, Dimitris A. Pados, George Sklivanitis
Automated classification of marine species from underwater imagery is essential for scalable ocean biodiversity monitoring and conservation policy. Existing approaches struggle wit…
Super-resolution Multi-signal Direction-of-Arrival Estimation by Hankel-structured Sensing and Decomposition
Georgios I. Orfanidis, Dimitris A. Pados, George Sklivanitis +1
Motivated by sensing modalities in modern autonomous systems that involve hardware-constrained spatial sampling over large arrays with limited coherence time, we develop a novel fr…
StormWave: An Open-Source Portable SDR Platform for Over-the-Air Resilience Evaluation of Terrestrial and Aerial Communications
Yuqing Cui, Zhaoxi Zhang, Sidharth Santhi Nivas +9
This paper presents \emph{StormWave}, an open-source, portable software-defined Radio Frequency (RF) interference generation and monitoring platform designed for realistic field-ba…
Hankel and Toeplitz Rank-1 Decomposition of Arbitrary Matrices with Applications to Signal Direction-of-Arrival Estimation
Georgios I. Orfanidis, Dimitris A. Pados, George Sklivanitis +1
We consider the problems of computing the optimal rank-1 Hankel and Toeplitz-structured approximation of arbitrary matrices under L2 and L1-norm error. Such problems arise naturall…
Demonstration of a 1.2 Gbps Always-on Fully-Connected Mesh Network with RFSoC SDRs
Hatef Nouri, George Sklivanitis, Dimitris A. Pados +1
We design and implement on Radio Frequency System-on-Chip (RFSoC) software-defined radios (SDRs) a complete-graph network of four unmanned aerial vehicles and demonstrate real-time…