no code implementations • 15 May 2024 • Farhang Yeganegi, Arian Eamaz, Tara Esmaeilbeig, Mojtaba Soltanalian
We demonstrate that the upper bound of estimation performance is governed by the recovery error of the transmitted signal covariance matrix.
no code implementations • 13 Mar 2024 • Arian Eamaz, Farhang Yeganegi, Yunqiao Hu, Mojtaba Soltanalian, Shunqiao Sun
This paper investigates the effects of coarse quantization with mixed precision on measurements obtained from sparse linear arrays, synthesized by a collaborative automotive radar sensing strategy.
no code implementations • 9 Dec 2023 • Arian Eamaz, Farhang Yeganegi, Yunqiao Hu, Shunqiao Sun, Mojtaba Soltanalian
The design of sparse linear arrays has proven instrumental in the implementation of cost-effective and efficient automotive radar systems for high-resolution imaging.
no code implementations • 7 Sep 2023 • Arian Eamaz, Farhang Yeganegi, Mojtaba Soltanalian
Additionally, we introduce a sufficient condition specifically designed for UNO sampling to perfectly recover non-bandlimited signals within spline spaces.
no code implementations • 8 Mar 2023 • Arian Eamaz, Farhang Yeganegi, Kumar Vijay Mishra, Mojtaba Soltanalian
Conventional sensing applications rely on electromagnetic far-field channel models with plane wave propagation.
no code implementations • 16 Mar 2022 • Arian Eamaz, Farhang Yeganegi, Mojtaba Soltanalian
The classical problem of phase retrieval has found a wide array of applications in optics, imaging and signal processing.
no code implementations • 16 Mar 2022 • Arian Eamaz, Farhang Yeganegi, Mojtaba Soltanalian
Similar to the case of the arcsine law, the Bussgang law only considers a zero sampling threshold.
no code implementations • 9 Aug 2019 • Salman Mohamadi, Farhang Yeganegi, Hamidreza Amindavar
This paper provides a framework in order to statistically model sequences from human genome, which is allowing a formulation to synthesize gene sequences.