Arian Eamaz

Graduate Research and Teaching Assistant

The University of Illinois at Chicago

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Arian Eamaz is a Graduate Research and Teaching Assistant at the University of Illinois at Chicago, United States. His research interests include one-bit sensing, covariance recovery for sampled signals, and optimization techniques in radar sensing. He has published several articles that explore theoretical guarantees and algorithms related to sample abundance and quantization.

Articles (10)

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (1)

Mojtaba Soltanalian

University of Chicago

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Arian Eamaz

Research Interests

Explore related searches

Contact this professor

About

Articles (10)

Harnessing the Power of Sample Abundance: Theoretical Guarantees and Algorithms for Accelerated One-Bit Sensing

MaRLI: Attack on the Discrete-Phase WISL Minimization Problem

UNO: Unlimited Sampling Meets One-Bit Quantization

Covariance recovery for one-bit sampled stationary signals with time-varying sampling thresholds

Covariance Recovery for One-Bit Sampled Non-Stationary Signals With Time-Varying Sampling Thresholds

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

On the Building Blocks of Sparsity Measures

Covariance Recovery for One-Bit Sampled Non-Stationary Signals With Time-Varying Sampling Thresholds

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

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

Collaborators (1)

Mojtaba Soltanalian

Make your next move.