63 citations · 151 across the 12 of their papers we have counts for
12 papers
Doppler Tomography Using Rydberg Sensors
Peter Vouras, Bariscan Yonel, Alexandra Artusio-Glimpse
Novel sensors that leverage the quantum properties of atoms for measuring propagating electromagnetic fields are becoming increasingly practical for a variety of applications. Thes…
Deep Denoising Prior-Based Spectral Estimation for Phaseless Synthetic Aperture Radar
Samia Kazemi, Bariscan Yonel, Birsen Yazici
Incoherent processing for synthetic aperture radar (SAR) is a promising approach that enables low implementation costs, simplified hardware designs and operations in high frequency…
Interferometric Passive Radar Imaging with Deep Denoising Priors
Samia Kazemi, Bariscan Yonel, Birsen Yazici
Passive radar has key advantages over its active counterpart in terms of cost and stealth. In this paper, we address passive radar imaging problem by interferometric inversion usin…
Robust Phase Retrieval via Reverse Kullback-Leibler Divergence
Nazia Afroz Choudhury, Bariscan Yonel, Birsen Yazici
Robustness to noise and outliers is a desirable trait in phase retrieval algorithms for many applications in imaging and signal processing. In this paper, we develop novel robust p…
Unrolled Wirtinger Flow with Deep Decoding Priors for Phaseless Imaging
Samia Kazemi, Bariscan Yonel, Birsen Yazici
We introduce a deep learning (DL) based network and an associated exact recovery theory for imaging from intensity-only measurements. The network architecture uses a recurrent stru…
Phase-Space Function Recovery for Moving Target Imaging in SAR by Convex Optimization
Sean Thammakhoune, Bariscan Yonel, Eric Mason +2
In this paper, we present an approach for ground moving target imaging (GMTI) and velocity recovery using synthetic aperture radar. We formulate the GMTI problem as the recovery of…
A Spectral Estimation Framework for Phase Retrieval via Bregman Divergence Minimization
Bariscan Yonel, Birsen Yazici
In this paper, we develop a novel framework to optimally design spectral estimators for phase retrieval given measurements realized from an arbitrary model. We begin by deconstruct…
A Deterministic Theory for Exact Non-Convex Phase Retrieval
Bariscan Yonel, Birsen Yazici
In this paper, we analyze the non-convex framework of Wirtinger Flow (WF) for phase retrieval and identify a novel sufficient condition for universal exact recovery through the len…
Exact Imaging of Extended Targets Using Multistatic Interferometric Measurements
Bariscan Yonel, Il-Young Son, Birsen Yazici
In this paper, we present a novel approach that can exactly recover extended targets in wave-based multistatic interferometric imaging, based on Generalized Wirtinger Flow (GWF) th…
A Generalization of Wirtinger Flow for Exact Interferometric Inversion
Bariscan Yonel, Birsen Yazici
Interferometric inversion involves recovery of a signal from cross-correlations of its linear transformations. A close relative of interferometric inversion is the generalized phas…
Deep Learning for Waveform Estimation and Imaging in Passive Radar
Bariscan Yonel, Eric Mason, Birsen Yazici
We consider a bistatic configuration with a stationary transmitter transmitting unknown waveforms of opportunity and a moving receiver, and present a Deep Learning (DL) framework f…
Deep Learning for Passive Synthetic Aperture Radar
Bariscan Yonel, Eric Mason, Birsen Yazıcı
We introduce a deep learning (DL) framework for inverse problems in imaging, and demonstrate the advantages and applicability of this approach in passive synthetic aperture radar (…