From 63a225c27e91423c09347912745722282364cdf8 Mon Sep 17 00:00:00 2001 From: patha Date: Sun, 14 Sep 2025 19:45:14 +0200 Subject: [PATCH] Inhalt Kapitel 1-3 angelegt --- chapter_01.tex | 9 ++++++++- chapter_02.tex | 11 +++++++++++ chapter_03.tex | 5 +++++ 3 files changed, 24 insertions(+), 1 deletion(-) diff --git a/chapter_01.tex b/chapter_01.tex index 43d6427..c037072 100644 --- a/chapter_01.tex +++ b/chapter_01.tex @@ -1,5 +1,5 @@ \section{Introduction} -\subsection{Motivation}A Cochlear Implant (CI) System is a specialized form of hearing aid, used to restore partly or complete deafness. In contrary to standard hearing aids, CI's do not just amplify the audio signal received by the ear, but stimulate the auditory nerve itself directly through electric pulses.\\ \\ +\subsection{Motivation} A Cochlear Implant (CI) System is a specialized form of hearing aid, used to restore partly or complete deafness. In contrary to standard hearing aids, CI's do not just amplify the audio signal received by the ear, but stimulate the auditory nerve itself directly through electric pulses.\\ \\ Usually, a CI System consists out of an external processor (''audio processor'') receiving the ambient audio signal, processing it, and then transmitting it inductively via a transmission coil through the skin to the cochlear implant itself, implanted on the patient's skull (see figure \ref{fig:fig_snychrony}). The CI stimulates the auditory nerves inside the cochlear through charge pulses, thus enabling the patient to hear the received audio signal as sound.\\ \begin{figure} \centering @@ -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)} + diff --git a/chapter_02.tex b/chapter_02.tex index e69de29..3d3696c 100644 --- a/chapter_02.tex +++ b/chapter_02.tex @@ -0,0 +1,11 @@ +\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} diff --git a/chapter_03.tex b/chapter_03.tex index e69de29..d194305 100644 --- a/chapter_03.tex +++ b/chapter_03.tex @@ -0,0 +1,5 @@ +\section{Hardware and low-level simulation of different algorithm approaches} +\subsection{Hardware description} +\subsection{System setup} +\subsection{Low-level simulations of different algorithm approaches} +