12 citations · 17 across the 6 of their papers we have counts for
6 papers
Joint Extremum Compression and Detection of a Time-Delayed Signal for Distributed Sensing
Amir Weiss
We study the problem of joint compression and detection in distributed sensing systems, motivated by applications such as device-to-device connectivity in IoT networks and distribu…
Advancing AI Challenges for the United States Department of the Air Force
Christian Prothmann, Vijay Gadepally, Jeremy Kepner +35
The DAF-MIT AI Accelerator is a collaboration between the United States Department of the Air Force (DAF) and the Massachusetts Institute of Technology (MIT). This program pioneers…
Extremum Encoding for Joint Baseband Signal Compression and Time-Delay Estimation for Distributed Systems
Amir Weiss, Yuval Kochman, Gregory W. Wornell
The ubiquitous time-delay estimation (TDE) problem becomes nontrivial when sensors are non-co-located and communication between them is limited. Building on the recently proposed "…
Achieving Robustness in Blind Modulo Analog-to-Digital Conversion
Amir Weiss
The need to digitize signals with intricate spectral characteristics often challenges traditional analog-to-digital converters (ADCs). The recently proposed modulo-ADC architecture…
RF Challenge: The Data-Driven Radio Frequency Signal Separation Challenge
Alejandro Lancho, Amir Weiss, Gary C. F. Lee +4
We address the critical problem of interference rejection in radio-frequency (RF) signals using a data-driven approach that leverages deep-learning methods. A primary contribution…
A Joint Data Compression and Time-Delay Estimation Method For Distributed Systems via Extremum Encoding
Amir Weiss, Yuval Kochman, Gregory W. Wornell
Motivated by the proliferation of mobile devices, we consider a basic form of the ubiquitous problem of time-delay estimation (TDE), but with communication constraints between two…