Graph Signal Estimation Based on Maximum Correntropy Criterion (The Work of A. Chandrasekar Was Supported by the MATRICS, SERB, India, Under Grant MTR/2021/000405)

Abstract

In order to estimate the graph signal from the small part of samples, a novel adaptive filtering method based on maximum correntropy criterion is proposed in this study. The proposed approach is resistant to environments with impulsive noise. The performance enhancement of the proposed technique is well demonstrated by the simulation results carried out in the context of weather data.