Robust Adaptive Least Mean M-Estimate Algorithm for Censored Regression
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3120272
Abstract: An adaptive least mean M-estimate algorithm for censored regression (CR-LMM) is presented for the robust parameter estimation of the censored regression system. To correct the bias produced by censored observation, the estimated error derived from… read more here.
Keywords: regression; adaptive least; censored regression; least mean ... See more keywords
Diffusion Normalized Least Mean M-estimate Algorithms: Design and Performance Analysis
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2020.2983905
Abstract: This work proposes diffusion normalized least mean M-estimate algorithm based on the modified Huber function, which can equip distributed networks with robust learning capability in the presence of impulsive interference. In order to exploit the… read more here.
Keywords: least mean; mean estimate; diffusion; normalized least ... See more keywords