Optimal parameter selection in the phase differencing algorithm for 2-D phase estimation (Q2732793)

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scientific article; zbMATH DE number 1632204
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Optimal parameter selection in the phase differencing algorithm for 2-D phase estimation
scientific article; zbMATH DE number 1632204

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    Optimal parameter selection in the phase differencing algorithm for 2-D phase estimation (English)
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    9 August 2001
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    mean-squared error criterion
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    phase estimation algorithm
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    unbiased estimates
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    variances of the estimates
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    Cramer-Rao lower bounds
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    The performance of a phase estimation algorithm is analysed and rules are derived for selecting the algorithm parameters such that the mean squared error in estimating the signal phase is minimized. It is shown analytically and verified by the use of Monte Carlo simulations that the choice of parameters results in unbiased estimates of the phase and frequency functions and that the variances of the estimates are very close to the Cramer-Rao lower bounds.
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