diff --git a/src/thesis/chapters/2_fundamentals.tex b/src/thesis/chapters/2_fundamentals.tex
index 16b523d..c3d4973 100644
--- a/src/thesis/chapters/2_fundamentals.tex
+++ b/src/thesis/chapters/2_fundamentals.tex
@@ -128,7 +128,7 @@ One approach is to use the \ac{ml} criterion \cite[Sec.
     .
 \end{align*}
 Finally, we differentiate between \textit{soft decision} decoding, where
-$\bm{y} \in \mathbb{R}^n$ and \textit{hard decision} decoding, where
+$\bm{y} \in \mathbb{R}^n$, and \textit{hard decision} decoding, where
 $\bm{y} \in \mathbb{F}_2^n$ \cite[Sec. 1.5.1.3]{ryan_channel_2009}.
 %
 \begin{figure}[h]
@@ -146,9 +146,9 @@ $\bm{y} \in \mathbb{F}_2^n$ \cite[Sec. 1.5.1.3]{ryan_channel_2009}.
         ]
         \node                                              (in)  {};
         \node[box, right=of in]                            (enc) {Encoder};
-        \node[box, minimum width=23mm, right=of enc]       (mod) {Modulator};
+        \node[box, minimum width=25mm, right=of enc]       (mod) {Modulator};
         \node[box, below right=of mod]                     (cha) {Channel};
-        \node[box, minimum width=23mm, below left=of cha]  (dem) {Demodulator};
+        \node[box, minimum width=25mm, below left=of cha]  (dem) {Demodulator};
         \node[box, left=of dem]                            (dec) {Decoder};
         \node[left=of dec]                                 (out) {};
 
@@ -173,6 +173,7 @@ $\bm{y} \in \mathbb{F}_2^n$ \cite[Sec. 1.5.1.3]{ryan_channel_2009}.
 
 \red{
     \begin{itemize}
+        \item Use \cite[Ch. 5]{ryan_channel_2009} as a reference
         \item Core concept (Large $n$ with manageable complexity)
         \item Tanner graphs, VNs and CNs
     \end{itemize}