Fig. 17.

Extraction of conformance errors during probability reconstruction. (a) visualization of the conformance error sequence $\left\{{\epsilon }_j\right\}$, where the horizontal axis represents the subscript of $\left\{{\epsilon }_j\right\}$, and the vertical axis shows the values of $\left\{{\epsilon }_j\right\}$. The data between $l_1=4.76\times {10}^{-2}$ and $l_2=9.80\times {10}^{-2}$ constitute ${\epsilon }^{\prime }$. (b) error histogram of data ${\epsilon }^{″}$, where ${\epsilon }^{″}\sim N(0.0728,{0.0102}^2)$.