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Mircea Moscu

2 accepted papers

2021

Convergence Analysis of the Graph-Topology-Inference Kernel LMS Algorithm

ICASSP 2021accepted

Identifying directed connectivity patterns from nodal measurements is an important problem in network analysis. Recent works proposed to leverage the performance and flexibility of strategies operating in reproducing kernel Hilbert spaces (RKHS) to model nonlinear interactions between network agents…

Cited by 0SourceScholar
2020

Online Graph Topology Inference with Kernels For Brain Connectivity Estimation

ICASSP 2020accepted

In graph signal processing, there are often settings where the graph topology is not known beforehand and has to be estimated from data. Moreover, some graphs can be dynamic, such as brain activity supported by neurons or brain regions. This paper focuses on estimating in an online and adaptive mann…

Cited by 0SourceScholar