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

Korr Christoph 121225

Browse Source
This commit is contained in:
Patrick Hangl
2025-12-12 12:06:59 +01:00
parent f273124008
commit 7c42a24f8b
14 changed files with 4 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
chapter_02.tex
View File

@@ -274,7 +274,7 @@ The following definitions of the involved signals shall help to better understan
\item Corruption noise signal: The noise signal after passing the transfer function to the primary sensor.
\item Reference noise signal: The noise signal after passing the transfer function to the secondary sensor.
\item Corrupted signal: The combination of the recorded desired signal and the corruption noise signal
\item Filter output / Cleaned signal: The output signal of the \ac{ANR} system, representing the desired signal after noise reduction.
\item Filter output / Cleaned signal: The output signal of the \ac{ANR} algorithm, representing the desired signal after noise reduction. This signal also equals the error signal of the adaptive filter.
\end{itemize}
The primary sensor receives the desired- and noise signal over their respective transfer functions and outputs the corrupted signal $d[n]$, which consists out of the recorded desired signal $s[n]$ and the corruption noise signal $n[n]$, whereas the noise signal sensor aims to receive (ideally) only the noise signal $v[n]$ over its transfer function and outputs the reference noise signal $x[n]$, which then feeds the adaptive filter.\\ \\
Additionally, now the relevant transfer functions of the overall system are illustrated in Figure \ref{fig:fig_anr_implant}. The transfer functions $C_n$, $D_n$, and $E_n$ describe the path from the signal sources to the cochlear implant system. As the sources, the relative location of the user to the sources and the medium bewteen them can vary, these transfer functions are time-variant and unknown. After the signals reached the implant systems, we establish the possibility, that the remaining path of the signals is mainly depented on the sensitivity curve of the respective sensors and therefore can be seen as time-invariant and known. This known transfer functions, which are titled $A$ and $B$, allow us to apply an hybrid static/adaptive filter design for the \ac{ANR} implementation, as described in chapter 2.5.2.\\ \\