2.2.3 | Minimaxi
Minimaxi is a fixed-value threshold selection method to find the optimal
threshold for the root mean square error against the ideal procedure,
which can be expressed as:
\(\text{\ \ \ \ \ \ \ \ \ \ \ λ}=\left\{\par
\begin{matrix}\sigma(0.3936+0.1829(\frac{\text{lnN}}{ln2})),\ \ \&N>32\\
0,\ \text{\ \ \ }\ \text{\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ N}\leq 32\\
\end{matrix}\right.\ \) (4)
Here, N is the signal length and \(\sigma\) is the signal variance.