AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Generalized Multivariate Laplace Filtering Algorithm Supresses Process and Measurement Noise Outliers
This article proposes a state estimation algorithm designed to effectively suppress process and measurement noise outliers and enhance the precision of state estimation. To accurately model heavy-tailed noise contaminated by outliers, we adopt a generalized multivariate Laplace (GML) distribution. Through a rigorous an...