High-Dimensional Analysis of Regularized Convex Optimization Problems with Application to Massive MIMO Wireless Communication Systems

High-Dimensional Analysis of Regularized Convex Optimization Problems with Application to Massive MIMO Wireless Communication Systems

In the past couple of decades, the amount of data available has dramatically in- creased. Thus, in modern large-scale inference problems, the dimension of the signal to be estimated is comparable or even larger than the number of available observa- tions. Yet the desired properties of the signal typ...

Full description

Bibliographic Details
Main Author: Alrashdi, Ayed
Other Authors: Al-Naffouri, Tareq Y.
Language:en
Published: 2021
Subjects:
Convex Optimization
High-Dimensional Analysis
CGMT
regularization
Wireless Communication
Matrix Uncertainties
Online Access:Alrashdi, A. (2021). High-Dimensional Analysis of Regularized Convex Optimization Problems with Application to Massive MIMO Wireless Communication Systems. KAUST Research Repository. https://doi.org/10.25781/KAUST-42083
http://hdl.handle.net/10754/668170

Internet

Alrashdi, A. (2021). High-Dimensional Analysis of Regularized Convex Optimization Problems with Application to Massive MIMO Wireless Communication Systems. KAUST Research Repository. https://doi.org/10.25781/KAUST-42083
http://hdl.handle.net/10754/668170

Similar Items