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Variational Inference approach to Jitter decomposition in High-speed Link

Jitter, a timing deviation from the ideal edge position, is an unwanted phenomenon in high-speed link systems. Decomposing jitter into its components and identifying each type of jitter are beneficial to diagnose the root causes of jitter, thereof improving the system design. In recent years, variational bayes inference (VBI) has made substantial progress towards improving the efficiency of statistical modeling. This paper proposes a jitter approximation method using VBI. Applications approximating different mixtures of well-known components of jitter show good results. The approximated distribution is much closer to the true jitter distributions as compared to traditional methods.