5 papers
Sample Abundance for Signal Processing: A Brief Introduction
Arian Eamaz, Farhang Yeganegi, Mojtaba Soltanalian
This paper reports, by way of introduction, on the advances made by our group and the broader signal processing community on the concept of sample abundance; a phenomenon that natu…
Collaborative Automotive Radar Sensing via Mixed-Precision Distributed Array Completion
Arian Eamaz, Farhang Yeganegi, Yunqiao Hu +2
This paper investigates the effects of coarse quantization with mixed precision on measurements obtained from sparse linear arrays, synthesized by a collaborative automotive radar…
HDR Imaging With One-Bit Quantization
Arian Eamaz, Farhang Yeganegi, Mojtaba Soltanalian
Modulo sampling and dithered one-bit quantization frameworks have emerged as promising solutions to overcome the limitations of traditional analog-to-digital converters (ADCs) and…
One-Bit Quadratic Compressed Sensing: From Sample Abundance to Linear Feasibility
Arian Eamaz, Farhang Yeganegi, Deanna Needell +1
One-bit quantization with time-varying sampling thresholds has recently found significant utilization potential in statistical signal processing applications due to its relatively…
Near-Field Low-WISL Unimodular Waveform Design for Terahertz Automotive Radar
Arian Eamaz, Farhang Yeganegi, Kumar Vijay Mishra +1
Conventional sensing applications rely on electromagnetic far-field channel models with plane wave propagation. However, recent ultra-short-range automotive radar applications at u…