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Enhanced table

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Markus Bullmann
2018-10-16 16:01:50 +02:00
parent 94008ef62b
commit f50df536b5
2 changed files with 12 additions and 14 deletions
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1
tex_review/bare_conf.tex
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@@ -26,6 +26,7 @@
\usepackage{siunitx} \usepackage{siunitx}
\usepackage{array} \usepackage{array}
\usepackage{multirow} \usepackage{multirow}
\usepackage{booktabs}
%added for comments to reviewers %added for comments to reviewers
\usepackage[draft]{todonotes} %the orange todos \usepackage[draft]{todonotes} %the orange todos

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tex_review/chapters/experiments.tex
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@@ -216,26 +216,23 @@ In contrast, the $D_\text{KL}$-based method extends the transition and thus uses
We set $l_\text{max} =$ \SI{-75}{dBm} and $l_\text{min} =$ \SI{-90}{dBm}. We set $l_\text{max} =$ \SI{-75}{dBm} and $l_\text{min} =$ \SI{-90}{dBm}.
For a better overview, we only used the KDE-based estimation, as the errors compared to the weighted-average estimation differ by only a few centimeter. For a better overview, we only used the KDE-based estimation, as the errors compared to the weighted-average estimation differ by only a few centimeter.
\newcommand{\STAB}[1]{\begin{tabular}{@{}c@{}}#1\end{tabular}}
\begin{table}[t] \begin{table}[t]
\centering \centering
\begin{tabular}{|c|c|c|c|c|c|c|c|c|c|} \begin{tabular}{rrrrcrrrcrrr}
\hline \toprule
Method & \multicolumn{3}{c|}{none} & \multicolumn{3}{c|}{simple} & \multicolumn{3}{c|}{$D_\text{KL}$}\\ & \multicolumn{3}{c}{none} & \phantom{abc} & \multicolumn{3}{c}{simple} & \phantom{abc} & \multicolumn{3}{c}{$D_\text{KL}$} \\
\hline \cmidrule{2-4} \cmidrule{6-8} \cmidrule{10-12}
& $\bar{x}$ & $\bar{\sigma}$ & $\tilde{x}_{75}$ & $\bar{x}$ & $\bar{\sigma}$ & $\tilde{x}_{75}$ & $\bar{x}$ & $\bar{\sigma}$ & $\tilde{x}_{75}$ \\ & \multicolumn{1}{c}{$\bar{x}$} & \multicolumn{1}{c}{$\bar{\sigma}$} & \multicolumn{1}{c}{$\tilde{x}_{75}$} && \multicolumn{1}{c}{$\bar{x}$} & \multicolumn{1}{c}{$\bar{\sigma}$} & \multicolumn{1}{c}{$\tilde{x}_{75}$} && \multicolumn{1}{c}{$\bar{x}$} & \multicolumn{1}{c}{$\bar{\sigma}$} & \multicolumn{1}{c}{$\tilde{x}_{75}$} \\
\hline \hline \midrule
walk 0 & \SI{13.4}{\meter} & \SI{11.2}{\meter} & \SI{22.6}{\meter} & \SI{7.1}{\meter} & \SI{6.6}{\meter} & \SI{9.4}{\meter} & \SI{5.8}{\meter} & \SI{4.9}{\meter} & \SI{7.3}{\meter} \\ \hline walk 0 & \SI{13.4}{\meter} & \SI{11.2}{\meter} & \SI{22.6}{\meter} && \SI{7.1}{\meter} & \SI{6.6}{\meter} & \SI{9.4}{\meter} && \SI{5.8}{\meter} & \SI{4.9}{\meter} & \SI{7.3}{\meter} \\
walk 1 & \SI{3.2}{\meter} & \SI{2.4}{\meter} & \SI{4.1}{\meter} & \SI{3.2}{\meter} & \SI{2.6}{\meter} & \SI{4.0}{\meter} & \SI{3.8}{\meter} & \SI{3.2}{\meter} & \SI{4.6}{\meter} \\ \hline walk 1 & \SI{3.2}{\meter} & \SI{2.4}{\meter} & \SI{4.1}{\meter} && \SI{3.2}{\meter} & \SI{2.6}{\meter} & \SI{4.0}{\meter} && \SI{3.8}{\meter} & \SI{3.2}{\meter} & \SI{4.6}{\meter} \\
walk 2 & \SI{8.3}{\meter} & \SI{4.1}{\meter} & \SI{10.9}{\meter} & \SI{3.6}{\meter} & \SI{2.3}{\meter} & \SI{4.9}{\meter} & \SI{3.6}{\meter} & \SI{2.3}{\meter} & \SI{4.8}{\meter} \\ \hline walk 2 & \SI{8.3}{\meter} & \SI{4.1}{\meter} & \SI{10.9}{\meter} && \SI{3.6}{\meter} & \SI{2.3}{\meter} & \SI{4.9}{\meter} && \SI{3.6}{\meter} & \SI{2.3}{\meter} & \SI{4.8}{\meter} \\
walk 3 & \SI{7.0}{\meter} & \SI{5.9}{\meter} & \SI{13.5}{\meter} & \SI{5.4}{\meter} & \SI{4.7}{\meter} & \SI{7.7}{\meter} & \SI{4.8}{\meter} & \SI{4.3}{\meter} & \SI{6.5}{\meter} \\ walk 3 & \SI{7.0}{\meter} & \SI{5.9}{\meter} & \SI{13.5}{\meter} && \SI{5.4}{\meter} & \SI{4.7}{\meter} & \SI{7.7}{\meter} && \SI{4.8}{\meter} & \SI{4.3}{\meter} & \SI{6.5}{\meter} \\
\hline \bottomrule
\end{tabular} \end{tabular}
\caption{Overall localization results in meter using the different impoverishment methods. For estimation we used the KDE-based method, as the errors compared to the weighted-average differ by only a few centimeter. The results are presented given the average positioning error $\bar{x}$, the standard deviation $\bar{\sigma}$ and the \SI{75}{\percent}-quantil of positioning errors $\tilde{x}_{75}$.} \caption{Overall localization results in meter using the different impoverishment methods. For estimation we used the KDE-based method, as the errors compared to the weighted-average differ by only a few centimeter. The results are presented given the average positioning error $\bar{x}$, the standard deviation $\bar{\sigma}$ and the \SI{75}{\percent}-quantil of positioning errors $\tilde{x}_{75}$.}
\label{table:overall} \label{table:overall}
\end{table} \end{table}
All walks, except for walk 1, suffer in some way from sample impoverishment. All walks, except for walk 1, suffer in some way from sample impoverishment.
We discuss the single results of table \ref{table:overall} starting with walk 0. We discuss the single results of table \ref{table:overall} starting with walk 0.
Here, the pedestrians started at the top most level, walking down to the lowest point of the building. Here, the pedestrians started at the top most level, walking down to the lowest point of the building.