About Ayed M. Alrashdi Ayed M. Alrashdi Ph.D. Student (former), Electrical and Computer Engineering statistical signal processing Compressive Sensing high dimensional statistics mathematical optimization statistical learning Wireless Communications Ph.D. degree in electrical and computer engineering from the King Abdullah University of Science and Technology (KAUST) working with Professor Tareq Al-Naffouri in the Information System Lab (ISL),Assistant Professor with the Electrical Engineering Department at University of Ha'il Articles Related News January 2022 Congratulations to our graduates in 2021 1 min read · Wed, Jan 5 2022 News We at Information Science Lab would like to extend our heartfelt congratulations to the following students who have graduated during the academic year 2021/2022. Ayed Alrashdi (Ph.D. Feb’21) – Currently working as an Assistant Professor at the University of Hail, Saudi Arabia. Hui Chen (Ph.D. July’21) – Joined as a Postdoc researcher at Chalmers University of Technology, Gothenburg, Sweden. Mohammed Alsharif (Ph.D. Dec’21) – Currently working at ARAMCO R&D Ahmed Magbool (MS 2021) – He is continuing Ph.D. at University College, Dublin Muhanned Alsaif (MS July’21) – Currently working as a August 2019 SNR Estimation in Linear Systems With Gaussian Matrices 1 min read · Tue, Aug 6 2019 News SNR estimation Guassian matrices ISL Highlighted Publications M. A. Suliman and A. M. Alrashdi and T. Ballal and T. Y. Al-Naffouri, "SNR Estimation in Linear Systems With Gaussian Matrices", IEEE Signal Processing Letters. vol. 24 , pp. 1867-1871, Dec 2017. Abstract: This letter proposes a highly accurate algorithm to estimate the signal-to-noise ratio (SNR) for a linear system from a single realization of the received signal. We assume that the linear system has a Gaussian matrix with one sided left correlation. The unknown entries of the signal and the noise are assumed to be independent and identically distributed with zero mean and can be drawn from
Congratulations to our graduates in 2021 1 min read · Wed, Jan 5 2022 News We at Information Science Lab would like to extend our heartfelt congratulations to the following students who have graduated during the academic year 2021/2022. Ayed Alrashdi (Ph.D. Feb’21) – Currently working as an Assistant Professor at the University of Hail, Saudi Arabia. Hui Chen (Ph.D. July’21) – Joined as a Postdoc researcher at Chalmers University of Technology, Gothenburg, Sweden. Mohammed Alsharif (Ph.D. Dec’21) – Currently working at ARAMCO R&D Ahmed Magbool (MS 2021) – He is continuing Ph.D. at University College, Dublin Muhanned Alsaif (MS July’21) – Currently working as a
SNR Estimation in Linear Systems With Gaussian Matrices 1 min read · Tue, Aug 6 2019 News SNR estimation Guassian matrices ISL Highlighted Publications M. A. Suliman and A. M. Alrashdi and T. Ballal and T. Y. Al-Naffouri, "SNR Estimation in Linear Systems With Gaussian Matrices", IEEE Signal Processing Letters. vol. 24 , pp. 1867-1871, Dec 2017. Abstract: This letter proposes a highly accurate algorithm to estimate the signal-to-noise ratio (SNR) for a linear system from a single realization of the received signal. We assume that the linear system has a Gaussian matrix with one sided left correlation. The unknown entries of the signal and the noise are assumed to be independent and identically distributed with zero mean and can be drawn from
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