Compensation of Markov estimator errors in time-jittered sampling of nonmonotonic signals

The so-called Markov estimator is sometimes used to estimate signals from their time-jittered samples (1990). The estimates are unbiased for monotonic signals, but exhibit errors in regions of nonmonotonicity. A method of compensation is presented to reduce this error. It requires a knowledge of the PDF of the time jitter, and a proposed method for determining the PDF based on the generalized Markov estimator has been verified through simulations. The performance of the compensation approach is presented for four different nonmonotonic waveforms.<
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