Shahin Khobahi

According to our database, Shahin Khobahi authored at least 20 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

One-Bit Compressive Sensing: Can We Go Deep and Blind?

Yiming Zeng, Shahin Khobahi, Mojtaba Soltanalian

IEEE Signal Process. Lett., 2022

Guaranteed Deep Learning for Reliable Radar Signal Processing.

Shahin Khobahi, Ali Mostajeran, Mohammad Emadi, Pu Wang, Mojtaba Soltanalian

Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

2021

LoRD-Net: Unfolded Deep Detection Network With Low-Resolution Receivers.

Shahin Khobahi, Nir Shlezinger, Mojtaba Soltanalian, Yonina C. Eldar

IEEE Trans. Signal Process., 2021

Efficient waveform covariance matrix design and antenna selection for MIMO radar.

Arindam Bose, Shahin Khobahi, Mojtaba Soltanalian

Signal Process., 2021

Deep One-Bit Compressive Autoencoding.

Shahin Khobahi, Arindam Bose, Mojtaba Soltanalian

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

CoroNet: a deep network architecture for enhanced identification of COVID-19 from chest x-ray images.

Chirag Agarwal, Shahin Khobahi, Dan Schonfeld, Mojtaba Soltanalian

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Model-Inspired Deep Detection with Low-Resolution Receivers.

Shahin Khobahi, Nir Shlezinger, Mojtaba Soltanalian, Yonina C. Eldar

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Model-Based Deep Learning for One-Bit Compressive Sensing.

Shahin Khobahi, Mojtaba Soltanalian

IEEE Trans. Signal Process., 2020

Optimized Transmission for Parameter Estimation in Wireless Sensor Networks.

Shahin Khobahi, Mojtaba Soltanalian, Feng Jiang, A. Lee Swindlehurst

IEEE Trans. Signal Inf. Process. over Networks, 2020

Unfolded Algorithms for Deep Phase Retrieval.

Naveed Naimipour, Shahin Khobahi, Mojtaba Soltanalian

CoRR, 2020

Deep-RLS: A Model-Inspired Deep Learning Approach to Nonlinear PCA.

Zahra Esmaeilbeig, Shahin Khobahi, Mojtaba Soltanalian

CoRR, 2020

Deep Radar Waveform Design for Efficient Automotive Radar Sensing.

Shahin Khobahi, Arindam Bose, Mojtaba Soltanalian

Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

DEEP-URL: A Model-Aware Approach to Blind Deconvolution Based on Deep Unfolded Richardson-Lucy Network.

Chirag Agarwal, Shahin Khobahi, Arindam Bose, Mojtaba Soltanalian, Dan Schonfeld

Proceedings of the IEEE International Conference on Image Processing, 2020

UPR: A Model-Driven Architecture for Deep Phase Retrieval.

Naveed Naimipour, Shahin Khobahi, Mojtaba Soltanalian

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Model-Aware Deep Architectures for One-Bit Compressive Variational Autoencoding.

Shahin Khobahi, Mojtaba Soltanalian

CoRR, 2019

Deep Signal Recovery with One-bit Quantization.

Shahin Khobahi, Naveed Naimipour, Mojtaba Soltanalian, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2019

Joint Optimization of Waveform Covariance Matrix and Antenna Selection for MIMO Radar.

Arindam Bose, Shahin Khobahi, Mojtaba Soltanalian

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Optimized Transmission for Consensus in Wireless Sensor Networks.

Shahin Khobahi, Mojtaba Soltanalian

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Signal Recovery From 1-Bit Quantized Noisy Samples via Adaptive Thresholding.

Shahin Khobahi, Mojtaba Soltanalian

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

A Majorization-Minimization Approach for Reducing Out-of-Band Radiations in OFDM Systems.

Mohammad Mahdi Naghsh, Ehsan Haj Mirza Alian, Shahin Khobahi, Omid Rezaei

IEEE Commun. Lett., 2017