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09/07/2023
Low-rank Matrix Sensing With Dithered One-Bit Quantization
We explore the impact of coarse quantization on low-rank matrix sensing ...
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08/01/2023
Harnessing the Power of Sample Abundance: Theoretical Guarantees and Algorithms for Accelerated One-Bit Sensing
One-bit quantization with time-varying sampling thresholds (also known a...
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07/31/2023
Deep Learning Meets Adaptive Filtering: A Stein's Unbiased Risk Estimator Approach
This paper revisits two prominent adaptive filtering algorithms through ...
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03/16/2023
One-Bit Quadratic Compressed Sensing: From Sample Abundance to Linear Feasibility
One-bit quantization with time-varying sampling thresholds has recently ...
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03/10/2023
Quantized Phase-Shift Design of Active IRS for Integrated Sensing and Communications
Integrated sensing and communications (ISAC) is a spectrum-sharing parad...
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10/26/2022
Joint Waveform and Passive Beamformer Design in Multi-IRS Aided Radar
Intelligent reflecting surface (IRS) technology has recently attracted a...
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03/13/2022
One-Bit Compressive Sensing: Can We Go Deep and Blind?
One-bit compressive sensing is concerned with the accurate recovery of a...
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03/03/2022
Unfolding-Aided Bootstrapped Phase Retrieval in Optical Imaging
Phase retrieval in optical imaging refers to the recovery of a complex s...
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02/05/2021
LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receivers
The need to recover high-dimensional signals from their noisy low-resolu...
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12/28/2020
On the Performance of One-Bit DoA Estimation via Sparse Linear Arrays
Direction of Arrival (DoA) estimation using Sparse Linear Arrays (SLAs) ...
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12/21/2020
Unfolded Algorithms for Deep Phase Retrieval
Exploring the idea of phase retrieval has been intriguing researchers fo...
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11/15/2020
Deep-RLS: A Model-Inspired Deep Learning Approach to Nonlinear PCA
In this work, we consider the application of model-based deep learning i...
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03/09/2020
UPR: A Model-Driven Architecture for Deep Phase Retrieval
The problem of phase retrieval has been intriguing researchers for decad...
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02/03/2020
Deep-URL: A Model-Aware Approach To Blind Deconvolution Based On Deep Unfolded Richardson-Lucy Network
The lack of interpretability in current deep learning models causes seri...
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12/17/2019
Deep Radar Waveform Design for Efficient Automotive Radar Sensing
In radar systems, unimodular (or constant-modulus) waveform design plays...
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12/10/2019
Deep One-bit Compressive Autoencoding
Parameterized mathematical models play a central role in understanding a...
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11/27/2019
Model-Aware Deep Architectures for One-Bit Compressive Variational Autoencoding
Parameterized mathematical models play a central role in understanding a...
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08/01/2019
Optimized Transmission for Parameter Estimation in Wireless Sensor Networks
A central problem in analog wireless sensor networks is to design the ga...
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06/06/2019
Comprehensive Personalized Ranking Using One-Bit Comparison Data
The task of a personalization system is to recommend items or a set of i...
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12/10/2018
Signal Recovery From 1-Bit Quantized Noisy Samples via Adaptive Thresholding
In this paper, we consider the problem of signal recovery from 1-bit noi...
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11/30/2018