5 papers
RAVEN: Radar Adaptive Vision Encoders for Efficient Chirp-wise Object Detection and Segmentation
Anuvab Sen, Mir Sayeed Mohammad, Saibal Mukhopadhyay
This paper presents RAVEN, a computationally efficient deep learning architecture for FMCW radar perception. The method processes raw ADC data in a chirp-wise streaming manner, pre…
Learning Collective Dynamics of Multi-Agent Systems using Event-based Vision
Minah Lee, Uday Kamal, Saibal Mukhopadhyay
This paper proposes a novel problem: vision-based perception to learn and predict the collective dynamics of multi-agent systems, specifically focusing on interaction strength and…
Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEs
Priyabrata Saha, Saibal Mukhopadhyay
Modeling and controlling complex spatiotemporal dynamical systems driven by partial differential equations (PDEs) often necessitate dimensionality reduction techniques to construct…
Real-time Digital RF Emulation -- II: A Near Memory Custom Accelerator
Mandovi Mukherjee, Xiangyu Mao, Nael Rahman +16
A near memory hardware accelerator, based on a novel direct path computational model, for real-time emulation of radio frequency systems is demonstrated. Our evaluation of hardware…
Real-time Digital RF Emulation -- I: The Direct Path Computational Model
Coleman DeLude, Joe Driscoll, Mandovi Mukherjee +11
In this paper we consider the problem of developing a computational model for emulating an RF channel. The motivation for this is that an accurate and scalable emulator has the pot…