29 citations · 86 across the 25 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
Joint Waveform and Passive Beamformer Design in Multi-IRS-Aided Radar
Zahra Esmaeilbeig, Arian Eamaz, Kumar Vijay Mishra +1
Intelligent reflecting surface (IRS) technology has recently attracted a significant interest in non-light-of-sight radar remote sensing. Prior works have largely focused on design…
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…
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…
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…