Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Circuit Emulation Over IP Networks
PfHSN '99 Proceedings of the IFIP TC6 WG6.1 & WG6.4 / IEEE ComSoc TC on on Gigabit Networking Sixth International Workshop on Protocols for High Speed Networks VI
Robust synchronization of absolute and difference clocks over networks
IEEE/ACM Transactions on Networking (TON)
Analysis of clock jitter in continuous-time sigma-delta modulators
IEEE Transactions on Circuits and Systems Part I: Regular Papers
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We analyze the statistical properties of slope estimates obtained from linear regression with sample-minimum Erlang variates. The sample-minimum of sequential blocks has the effect of introducing nonuniform time samples. We show that this nonuniformity has negligible effect on the slope estimate variance but introduces a spurious low-frequency component in the power spectrum, which can be detrimental for low-bandwidth tracking applications. The analysis shows that this effect can be moderated by choosing a sufficiently large number of sample-minimum output samples in the linear regression. These results are useful, for example, in clock synchronization over packet networks, where the random variates model packet arrival times.