Integrating sensing functionalities is envisioned as a distinguishing fe...
Conventional meta-atom designs rely heavily on researchers' prior knowle...
Federated learning (FL) is an emerging machine learning paradigm that al...
The great success of deep learning (DL) has inspired researchers to deve...
Large intelligent surface (LIS) has recently emerged as a potential low-...
In this paper, we study the problem of joint active and passive beamform...
We consider state estimation for networked systems where measurements fr...
There has been a growing interest in wideband spectrum sensing due to it...
In this paper, we studied the problem of beam alignment for millimeter w...
We consider the problem of robust estimation involving filtering and
smo...
We consider the problem of spectrum sharing in a cognitive radio system
...
We consider the problem of spectrum sharing in a cognitive radio system
...
The problem of low rank matrix completion is considered in this paper. T...
We consider the problem of robust compressed sensing whose objective is ...