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Inhalt Kapitel 1-3 angelegt

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chapter_01.tex
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@@ -8,3 +8,10 @@ Usually, a CI System consists out of an external processor (''audio processor'')
\label{fig:fig_snychrony}
\end{figure}
\\As for any head worn hearing aid, the audio processor of a 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. Reducing this interference noise through Adaptive Noise Reduction (ANR), implemented on a low-power Digital Signal Processor (DSP), which can be powered within the electrical limitations of a CI system, is the topic of this master's thesis.
\subsection{Overview of hearing aids and their role in auditory assistance}
\subsection{Introduction to Cochlear Implant (CI) Systems and Audio Processors}
\subsection{Problem description: Interference signals mixed with the ambient audio signals
in Audio Processors}
\subsection{Formulation of the objective of the thesis: Implementation of Adaptive Noise
Reduction (ANR) on a dedicated low-power Digital Signal Processor (DSP)}

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chapter_02.tex
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\section{Theoretical Background}
\subsection{Fundamentals of signal theory and transfer functions, including a simple illus-
trative example}
\subsection{Introduction to ANR}
\subsection{Explanation of Finite Impulse Response (FIR) and Infinite Impulse Response
(IIR) filters}
\subsection{Introduction to the Least Mean Square (LMS) method for adaptive filtering}
\subsection{Problem analysis: Signal flow diagram showing the origin of the useful signal,
noise signal, and their coupling}
\subsection{Derivation of the system’s transfer function based on the problem setup}
\subsection{Example applications and high-level simulations using Python}

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chapter_03.tex
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\section{Hardware and low-level simulation of different algorithm approaches}
\subsection{Hardware description}
\subsection{System setup}
\subsection{Low-level simulations of different algorithm approaches}