2 papers
eess.SP2024
Truncated Polynomial Expansion-Based Detection in Massive MIMO: A Model-Driven Deep Learning Approach
Kazem Izadinasab, Ahmed Wagdy Shaban, Oussama Damen
In this paper, we propose a deep learning (DL)-based approach for efficiently computing the inverse of Hermitian matrices using truncated polynomial expansion (TPE). Our model-driv…
eess.SY2016
Robust Causal Transform Coding for LQG Systems with Delay Loss in Communications
Mohammad Kazem Izadinasab, Amir Homayoun Bahari Sani, Farshad Lahouti +1
A networked controlled system (NCS) in which the plant communicates to the controller over a channel with random delay loss is considered. The channel model is motivated by recent…