Table 1.

The ability of 1In loop to buffer TF noise under variation of parameters in all three models.

Parameter values	Stop Model		Degr. Model		Dual Degr. Model
	$\overline{\epsilon }$	n	$\overline{\epsilon }$	n	$\overline{\epsilon }$	n
$\begin{array}{c}{h}_s=1\\ h_s=100\\ h_s=200\\ h_s=400\\ \end{array}$	$\begin{array}{c}\hfill -0.66\hfill \\ \hfill \left\{\begin{array}{c}-0.84\\ -0.84\\ \end{array}\right\}\hfill \\ \hfill -0.66\hfill \end{array}$	$\begin{array}{c}\hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \end{array}$	$\begin{array}{c}\hfill \left\{\begin{array}{c}-0.67\\ -0.68\\ \end{array}\right\}\hfill \\ \hfill -0.71\hfill \\ \hfill -0.76\hfill \end{array}$	$\begin{array}{c}\hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \end{array}$	$\begin{array}{c}\hfill -0.66\hfill \\ \hfill -0.69\hfill \\ \hfill \left\{\begin{array}{c}-0.74\\ -0.75\\ \end{array}\right\}\hfill \end{array}$	$\begin{array}{c}\hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \end{array}$
$\begin{array}{c}{k}_q=0.02\\ k_q=0.04\\ k_q=0.08\\ k_q=0.16\\ \end{array}$	$\begin{array}{c}\hfill -0.80\hfill \\ \hfill -0.84\hfill \\ \hfill -0.92\hfill \\ \hfill -0.97\hfill \end{array}$	$\begin{array}{c}\hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \end{array}$	$\begin{array}{c}\hfill -0.48\hfill \\ \hfill -0.71\hfill \\ \hfill -0.88\hfill \\ \hfill -0.96\hfill \end{array}$	$\begin{array}{c}\hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \end{array}$	$\begin{array}{c}\hfill -0.50\hfill \\ \hfill -0.74\hfill \\ \hfill -0.91\hfill \\ \hfill -0.97\hfill \end{array}$	$\begin{array}{c}\hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \end{array}$
$\begin{array}{c}{k}_s=0.01\\ k_s=0.25\\ k_s=0.50\\ k_s=0.75\\ \end{array}$	$\begin{array}{c}\hfill -0.70\hfill \\ \hfill -0.89\hfill \\ \hfill -0.84\hfill \\ \hfill -0.80\hfill \end{array}$	$\begin{array}{c}\hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \end{array}$	$\begin{array}{c}\hfill \left\{\begin{array}{c}-0.71\hfill \\ -0.72\hfill \end{array}\right\}\hfill \\ \hfill \left\{\begin{array}{c}-0.70\\ -0.70\\ \end{array}\right\}\hfill \end{array}$	$\begin{array}{c}\hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \end{array}$	$\begin{array}{c}\hfill -0.70\hfill \\ \hfill -0.72\hfill \\ \hfill \left\{\begin{array}{c}-0.75\\ -0.74\\ \end{array}\right\}\hfill \end{array}$	$\begin{array}{c}\hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \end{array}$
$\begin{array}{c}{h}_p\left(h_g\right)=30;k_{rs}=1\cdot 10^{-5}\\ h_p\left(h_g\right)=60;k_{rs}=2\cdot 10^{-5}\\ h_p\left(h_g\right)=120;k_{rs}=4\cdot 10^{-5}\\ h_p\left(h_g\right)=240;k_{rs}=8\cdot 10^{-5}\\ \end{array}$	$\begin{array}{c}\hfill -0.78\hfill \\ \hfill -0.83\hfill \\ \hfill -0.90\hfill \\ \hfill -0.82\hfill \end{array}$	$\begin{array}{c}\hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \end{array}$	$\begin{array}{c}\hfill -0.68\hfill \\ \hfill -0.70\hfill \\ \hfill \left\{\begin{array}{c}-0.73\\ -0.73\\ \end{array}\right\}\hfill \end{array}$	$\begin{array}{c}\hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \end{array}$	$\begin{array}{c}\hfill \left\{\begin{array}{c}-0.73\\ -0.74\\ \end{array}\right\}\hfill \\ \hfill \left\{\begin{array}{c}-0.76\\ -0.77\\ \end{array}\right\}\hfill \end{array}$	$\begin{array}{c}\hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \\ \hfill 0\hfill \end{array}$

For each model and for each parameter value we present the average ε value (left column) and the number n of experiments with positive value of this coefficient (right column). The method for calculation of ε is described in section. Negative ε values mean that TF noise is dampen in a loop. The extremal ε values achieved at intermediate parameter values are shown in bold. The Wilcoxon Rank-Sum Test was used to test for significance of difference between the values of ε for adjacent parameter values. The differences which are statistically insignificant at the α = 0.05 level are placed in parentheses.