Latex/Masterarbeit
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Korr 5

Browse Source
This commit is contained in:
patha
2026-05-16 18:03:27 +02:00
parent 1e91900a6c
commit edaab00dd2
6 changed files with 12 additions and 12 deletions
Download Patch File Download Diff File Expand all files Collapse all files
chapter_01.tex
+1 -1
View File
@@ -20,7 +20,7 @@ Usually, a \ac{CI} system consists out of an external processor with a microphon
\label{fig:fig_electrode}
\end{figure}
\noindent As for any head worn hearing aid, the audio processor of a \ac{CI} system does not only pick up the desired ambient audio signal, but also any sort of interference noises from different sources. This circumstance leads to a decrease in the quality of the final audio signal for the user. Reducing this interference noise through adaptive noise reduction, implemented on a low-power digital signal processor, which can be powered within the electrical limitations of a CI system, is the topic of this master's thesis.
\subsection{Implementation of Adaptive Noise Reduction in Cochlear Implant Systems}
\subsection{Implementation of adaptive noise reduction in cochlear implant systems}
The above problem description of noise interference shows the need of further improvement of \ac{CI} systems in this regard. For persons with a healthy hearing sense, the addition of noise to an observed signal may just mean a decrease in hearing comfort, whereas for aurally impaired people it can make the difference in the basic understanding of information. As everyday environments present fluctuating background noise - from static crowd chatter to sudden sounds of different characteristics — that can severely degrade speech perception, the ability to suppress noise is a crucial benefit for users of cochlear implant systems. \\ \\
\ac{ANR} (also commonly referred as \ac{ANC}), is an advanced signal processing technique that adjusts the parameters of a digital filter to suppress unwanted noise from a signal while preserving the desired signal. In contrary to static filters (like a high- or low-pass filter), \ac{ANR} uses real-time feedback to adjust said digital filter to adapt to the current circumstances.\\ \\
The challenge in the implementation of \ac{ANR} in \ac{CI} systems lies in the limited capacities. As the \ac{CI} system is powered by a small battery located in the audio processor, energy efficiency is crucial for a possible solution of the described problem of noise interference. Any approach to a reduction of interference noise must be highly optimized with regard to computing power and implemented on dedicated low-power hardware, being able to be powered within the limitations of a \ac{CI} system.\\ \\