5.3

chapter_04.tex

@@ -253,8 +253,8 @@ C_{apply\_fir\_filter} = N + 12 \\
 C_{update\_output} = 1 \\
  \label{equation_c_4}
 C_{update\_filter\_coefficient} = \frac{1}{U}(6*N + 8)\\
-C_{write\_output} = 5 \\
  \label{equation_c_5}
+C_{write\_output} = 5 \\
 \end{gather}
 \noindent By inserting the sub-function costs into the total computing effort formula, Equation \ref{equation_computing} can now be expressed as:
 \begin{equation}
@@ -262,6 +262,11 @@ C_{write\_output} = 5 \\
  C_{total} = N + \frac{6*N+8}{U} + 34
 \end{equation}
 Equation \ref{equation_computing_final} now provides an estimation of the necessary computing effort for one output sample in relation to the filter length $N$ and the update rate of the filter coefficients $1/U$. This formula can now be used to estimate the needed computing power (and therefore the power consumption) of the \ac{DSP} core for different parameter settings, alowing to find an optimal parameter configuration in regard of the quality of the noise reduction and the power consumption of the system.
-
+\begin{figure}[H]
+    \centering
+    \includegraphics[width=1.0\linewidth]{Bilder/fig_c_total.png}
+    \caption{Dependence of the total computing effort on the filter length $N$ and update rate $1/U$.}
+    \label{fig:fig_c_total.png}
+\end{figure}