Estimating time and time-lag in time-of-flight velocimetry.
Estimating time and time-lag in time-of-flight velocimeters is investigated. Statistics of a filtered Poisson point process is given. A Maximum Likelihood Estimator is compared with suboptimum estimators in terms of robustness. For a dominating background combined spatial and temporal processing can improve the robustness compared with purely temporal processing. Schemes for the spatial filters are given.
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Case Western Reserve University, Chemical Engineering Department, Cleveland, Ohio 44106, USA.