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Patrick Hangl
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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,
\subsection{Fundamentals of digital signal processing, transfer functions and filters}
\subsection{Introduction to Adaptive Nose Reduction}
\subsection{Explanation of Finite Impulse Response- and Infinite Impulse Response-filters}
\subsection{Introduction to the Least Mean Square algorithm for adaptive filtering}
\subsection{Signal flow diagram showing the origin of the useful signal,
noise signal, and their coupling}
\subsection{Derivation of the systems transfer function based on the problem setup}
\subsection{Example applications and high-level simulations using Python}