\section{Forthcoming Analysis}%
\label{sec:Forthcoming Examinations}


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\subsection{LP Decoding}%
\label{sub:Forth Exam LP Decoding}

\begin{frame}[t]
    \frametitle{Forthcoming Analysis}

    \begin{itemize}
        \item Test ADMM (Alternating Direction Method of Multipliers)
              as an optimization method for LP decoding
            \begin{itemize}
                \item In LP decoding, the ML decoding problem is reduced to a linear program,
                    which can be solved in polynomial time \cite{lautern}
                \item ADMM is intended to blend the decomposability
                    of dual ascent with the superior convergence properties of the method
                    of multipliers \cite{distr_opt_book}
                \item ADMM has been proposed for efficient LP decoding
                    \cite{efficient_lp_dec_admm}
            \end{itemize}
        \item Compare ADMM implementation with proximal decoding implementation with respect to
            \begin{itemize}
                \item decoding performance (BER, FER)
                \item computational performance (time complexity, actual seconds per frame)
            \end{itemize}
    \end{itemize}

\end{frame}

