27 citations · 49 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
Detection and Statistical Modeling of Birth-Death Anomaly
Salman Mohamadi, Farhang Yeganegi, Nasser M Nasrabadi
Generally, anomaly detection has a great importance particularly in applied statistical signal processing. Here we provide a general framework in order to detect anomaly through th…