Robust Sparse Normalized LMAT Algorithms for Adaptive System Identification Under Impulsive Noise Environments
Sign Up to like & getrecommendations! Published in 2019 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-019-01111-3
Abstract: AbstractIt is known that the conventional adaptive filtering algorithms can have good performance for non-sparse systems identification, but unsatisfactory performance for sparse systems identification. The normalized least mean absolute third (NLMAT) algorithm which is based… read more here.
Keywords: system; performance; noise environments; sparse ... See more keywords
Circular Correntropy: Definition and Application in Impulsive Noise Environments
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3178423
Abstract: Circular statistics has been applied to several areas of knowledge in which the input data is circular or directional. Noisy measurements are still a problem in circular data applications and, like non-circular data, second-order statistics… read more here.
Keywords: noise; noise environments; circular correntropy; order ... See more keywords
Correntropy-based DOA estimation algorithm under impulsive noise environments
Sign Up to like & getrecommendations! Published in 2020 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-020-01766-6
Abstract: In this paper, the direction of arrival (DOA) estimation of signals in the presence of impulsive noise environment is studied. Complex isotropic symmetric alpha-stable ( SαS ) random variables are modeled as impulsive noise, then… read more here.
Keywords: noise environments; doa estimation; impulsive noise; correntropy based ... See more keywords