Skip to main content
Information Science Lab
ISL
Information Science Lab
Main navigation
Home
Projects
People
Principal Investigators
Research Scientists and Engineers
Postdoctoral Fellows
Students
All Profiles
Alumni
Former Members
Members
Consultants
Visiting Scholars
Research Staff
Events
All Events
Events Calendar
News
Pages
Publications
ISL Publications Repository
Research Output
Software
Spin-Offs
Guassian matrices
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
