activity
20222026
most citedCramer-Rao Lower Bound Optimization for Hidden Moving Target Sensing via Multi-IRS-Aided Radar

29 citations · 86 across the 25 of their papers we have counts for

collaborators
Showing 2022 · eess.SPShow all

6 papers · 2 filters

eess.SP2022★ 5 cited

UNO: Unlimited Sampling Meets One-Bit Quantization

Arian Eamaz, Kumar Vijay Mishra, Farhang Yeganegi +1

Recent results in one-bit sampling provide a framework for a relatively low-cost, low-power sampling, at a high rate by employing time-varying sampling threshold sequences. Another…

eess.SP2022★ 7 cited

ORKA: Accelerated Kaczmarz Algorithms for Signal Recovery from One-Bit Samples

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…

eess.SP2022★ 29 cited

Cramer-Rao Lower Bound Optimization for Hidden Moving Target Sensing via Multi-IRS-Aided Radar

Zahra Esmaeilbeig, Kumar Vijay Mishra, Arian Eamaz +1

Intelligent reflecting surface (IRS) is a rapidly emerging paradigm to enable non-line-of-sight (NLoS) wireless transmission. In this paper, we focus on IRS-aided radar estimation…

eess.SP2022

Covariance Recovery for One-Bit Sampled Data With Time-Varying Sampling Thresholds-Part II: Non-Stationary Signals

Arian Eamaz, Farhang Yeganegi, Mojtaba Soltanalian

The recovery of the input signal covariance values from its one-bit sampled counterpart has been deemed a challenging task in the literature. To deal with its difficulties, some as…

eess.SP2022

Covariance Recovery for One-Bit Sampled Data With Time-Varying Sampling Thresholds-Part I: Stationary Signals

Arian Eamaz, Farhang Yeganegi, Mojtaba Soltanalian

One-bit quantization, which relies on comparing the signals of interest with given threshold levels, has attracted considerable attention in signal processing for communications an…

eess.SP2022★ 27 cited

One-Bit Phase Retrieval: More Samples Means Less Complexity?

Arian Eamaz, Farhang Yeganegi, Mojtaba Soltanalian

The classical problem of phase retrieval has found a wide array of applications in optics, imaging and signal processing. In this paper, we consider the phase retrieval problem in…