no code implementations • 6 Jun 2019 • Aria Ameri, Arindam Bose, Mojtaba Soltanalian
The task of a personalization system is to recommend items or a set of items according to the users' taste, and thus predicting their future needs.
no code implementations • 10 Dec 2019 • Shahin Khobahi, Arindam Bose, Mojtaba Soltanalian
Parameterized mathematical models play a central role in understanding and design of complex information systems.
no code implementations • 17 Dec 2019 • 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 of the target parameters.
no code implementations • 3 Feb 2020 • Chirag Agarwal, Shahin Khobahi, Arindam Bose, Mojtaba Soltanalian, Dan Schonfeld
The lack of interpretability in current deep learning models causes serious concerns as they are extensively used for various life-critical applications.
1 code implementation • 13 Feb 2020 • Arindam Bose, Shahin Khobahi, Mojtaba Soltanalian
In this paper, we investigate the joint optimization of the waveform covariance matrix and the antenna position vector for a MIMO radar system to approximate a given transmit beam-pattern, as well as to minimize the cross-correlation between the probing signals at a number of given target locations.
no code implementations • 8 Aug 2022 • Arindam Bose, Bo Tang, Wenjie Huang, Mojtaba Soltanalian, Jian Li
The mutual interference between similar radar systems can result in reduced radar sensitivity and increased false alarm rates.
no code implementations • 16 Jun 2023 • Zahra Esmaeilbeig, Arindam Bose, Mojtaba Soltanalian
This paper addresses the challenge of mutual interference in phase-modulated continuous wave (PMCW) millimeter-wave (mmWave) automotive radar systems.
no code implementations • 26 Feb 2024 • Zahra Esmaeilbeig, Arindam Bose, Mojtaba Soltanalian
In this paper, we develop a novel code optimization method that attenuates the side-lobes of the radar's ambiguity function.