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Shahin Khobahi
Shahin Khobahi
University of Illinois at Chicago
Geverifieerd e-mailadres voor u.northwestern.edu
Titel
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Geciteerd door
Jaar
CoroNet: a deep network architecture for enhanced identification of COVID-19 from chest x-ray images
C Agarwal, S Khobahi, D Schonfeld, M Soltanalian
Medical Imaging 2021: Computer-Aided Diagnosis 11597, 484-490, 2021
72*2021
Deep signal recovery with one-bit quantization
S Khobahi, N Naimipour, M Soltanalian, YC Eldar
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
542019
Model-based deep learning for one-bit compressive sensing
S Khobahi, M Soltanalian
IEEE Transactions on Signal Processing 68, 5292-5307, 2020
27*2020
Signal recovery from 1-bit quantized noisy samples via adaptive thresholding
S Khobahi, M Soltanalian
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 1757-1761, 2018
192018
Deep radar waveform design for efficient automotive radar sensing
S Khobahi, A Bose, M Soltanalian
2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM …, 2020
142020
LoRD-Net: Unfolded deep detection network with low-resolution receivers
S Khobahi, N Shlezinger, M Soltanalian, YC Eldar
IEEE Transactions on Signal Processing 69, 5651-5664, 2021
112021
Upr: A model-driven architecture for deep phase retrieval
N Naimipour, S Khobahi, M Soltanalian
2020 54th Asilomar Conference on Signals, Systems, and Computers, 205-209, 2020
112020
Optimized transmission for parameter estimation in wireless sensor networks
S Khobahi, M Soltanalian, F Jiang, AL Swindlehurst
IEEE Transactions on Signal and Information Processing over Networks 6, 35-47, 2019
112019
Efficient waveform covariance matrix design and antenna selection for MIMO radar
A Bose, S Khobahi, M Soltanalian
Signal Processing 183, 107985, 2021
92021
Unfolded algorithms for deep phase retrieval
N Naimipour, S Khobahi, M Soltanalian
arXiv preprint arXiv:2012.11102, 2020
82020
Deep-url: A model-aware approach to blind deconvolution based on deep unfolded richardson-lucy network
C Agarwal, S Khobahi, A Bose, M Soltanalian, D Schonfeld
2020 IEEE International Conference on Image Processing (ICIP), 3299-3303, 2020
82020
Joint optimization of waveform covariance matrix and antenna selection for MIMO radar
A Bose, S Khobahi, M Soltanalian
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1534-1538, 2019
72019
Optimized transmission for consensus in wireless sensor networks
S Khobahi, M Soltanalian
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
72018
A majorization–minimization approach for reducing out-of-band radiations in OFDM systems
MM Naghsh, EHM Alian, S Khobahi, O Rezaei
IEEE Communications Letters 21 (8), 1739-1742, 2017
42017
Deep-RLS: A model-inspired deep learning approach to nonlinear PCA
Z Esmaeilbeig, S Khobahi, M Soltanalian
arXiv preprint arXiv:2011.07458, 2020
32020
Model-Inspired Deep Detection with Low-Resolution Receivers
S Khobahi, N Shlezinger, M Soltanalian, YC Eldar
2021 IEEE International Symposium on Information Theory (ISIT), 3349-3354, 2021
22021
Deep one-bit compressive autoencoding
S Khobahi, A Bose, M Soltanalian
2021 IEEE Statistical Signal Processing Workshop (SSP), 371-375, 2021
22021
Object tracking using kalman filter
S Khobahi
github.com, 2017
22017
Guaranteed Deep Learning for Reliable Radar Signal Processing
S Khobahi, A Mostajeran, M Emadi, P Wang, M Soltanalian
2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM …, 2022
2022
One-Bit Compressive Sensing: Can We Go Deep and Blind?
Y Zeng, S Khobahi, M Soltanalian
arXiv preprint arXiv:2203.11278, 2022
2022
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Artikelen 1–20