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20182022
most citedModel-Aware Deep Architectures for One-Bit Compressive Variational Autoencoding

11 citations · 32 across the 5 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

eess.SP2019

Deep Radar Waveform Design for Efficient Automotive Radar Sensing

Shahin Khobahi, Arindam Bose, Mojtaba Soltanalian

In radar systems, unimodular (or constant-modulus) waveform design plays an important role in achieving better clutter/interference rejection, as well as a more accurate estimation…

cs.LG2019

Deep One-bit Compressive Autoencoding

Shahin Khobahi, Arindam Bose, Mojtaba Soltanalian

Parameterized mathematical models play a central role in understanding and design of complex information systems. However, they often cannot take into account the intricate interac…

eess.SP2019

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

Arindam Bose, Shahin Khobahi, Mojtaba Soltanalian

In this paper, we investigate the problem of jointly optimizing the waveform covariance matrix and the antenna position vector for multiple-input-multiple-output (MIMO) radar syste…

eess.SP2019★ 11 cited

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

Shahin Khobahi, Mojtaba Soltanalian

Parameterized mathematical models play a central role in understanding and design of complex information systems. However, they often cannot take into account the intricate interac…

eess.SP2019

Optimized Transmission for Parameter Estimation in Wireless Sensor Networks

Shahin Khobahi, Mojtaba Soltanalian, Feng Jiang +1

A central problem in analog wireless sensor networks is to design the gain or phase-shifts of the sensor nodes (i.e. the relaying configuration) in order to achieve an accurate est…