3 papers
eess.SP2025
Unifying Common Signal Analyses with Instantaneous Time-Frequency Atoms
Steven Sandoval, Phillip L. De Leon
In previous work, we presented a general framework for instantaneous time-frequency analysis but did not provide any specific details of how to compute a particular instantaneous s…
eess.IV2023
Estimation of motion blur kernel parameters using regression convolutional neural networks
Luis G. Varela, Laura E. Boucheron, Steven Sandoval +2
Many deblurring and blur kernel estimation methods use a maximum a posteriori (MAP) approach or deep learning-based classification techniques to sharpen an image and/or predict the…
eess.SP2021
WIDEFT: A Corpus of Radio Frequency Signals for Wireless Device Fingerprint Research
Abu Bucker Siddik, Dawson Drake, Thomas Wilkinson +3
Wireless network security may be improved by identifying networked devices via traits that are tied to hardware differences, typically related to unique variations introduced in th…