Abstract
Diffusion sign-error LMS is a useful algorithm that allows agents in an adaptive network to perform in a robust manner under impulsive noise. In the literature, the mean stability condition and mean-square transient performance of this algorithm were analyzed with a reasonable impulsive noise model. However, it is important to analyze its mean-square stability condition and second-order steady-state performance for both theoretical understanding and practical implementation of the algorithm. This paper complements previous works by achieving this analysis with the same noise model. Simulations are performed to validate the theoretical findings.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
