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The influence of non-Gaussian noise on the accuracy of parameter estimation
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文摘
We find that, for the random telegraph noise case, both weak coupling and strong coupling conditions are suitable for the parameter estimation. For the colored noise case, the accuracy of the parameter estimation decreases with the parameter α firstly and then increases with it.

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