diff --git a/ifcs2018_poster.tex b/ifcs2018_poster.tex
index 65df992..6e169c2 100644
--- a/ifcs2018_poster.tex
+++ b/ifcs2018_poster.tex
@@ -98,15 +98,15 @@ in feedback loop): needs to be optimized
 %\setlength{\itemsep}{0pt}%
 %\setlength{\parskip}{0pt}%
 \vspace{-.40cm}
-  \addblock{0.44\textwidth}{
+  \addblock{0.38\textwidth}{
 %  \begin{enumerate}[noitemsep,nolistsep]
 %    \item 
 \textbf{1. Classical way:}\\
-    Compute the transfer function of a monolithic filter
+    Compute transfer function of a monolithic filter
     \begin{itemize}[label=$\Rightarrow$, noitemsep, nolistsep]
       {\color{Green}\item Simplest way to design filter}
-      {\color{Green}\item Great rejection}
-      {\color{Red}\item Consume lot of resources on FPGA}
+      {\color{Red}\item Fixed configuration (bits/coef.)}
+      {\color{Red}\item High resource consumption on FPGA}
     \end{itemize}
 %  \end{enumerate}
   }
@@ -115,10 +115,10 @@ in feedback loop): needs to be optimized
 %    \setcounter{enumi}{1}
 %    \item 
 \textbf{2. Alternative way (our focus):}\\
-    Chain of small filters
+    Cascade of small(er) filters
     \begin{itemize}[label=$\Rightarrow$, noitemsep, nolistsep]
       {\color{Green}\item Fewer resource consumption on FPGA}
-      {\color{Green}\item Greater rejection}
+      {\color{Green}\item Flexibility (increasing bits/coef.)}
       {\color{Red}\item Harder way to design filter}
     \end{itemize}
 %  \end{enumerate}
@@ -138,7 +138,7 @@ throughput...)
 \vspace{-0.40cm}
 \noindent Expressed as a {\bf Mixed-Integer Linear Programming} (MILP) with GLPK solver
 
-\noindent 3 degrees of freedom: number of filters, $N_i$ number of coeff. for each filter $i$, $c_i$
+\noindent 3 degrees of freedom: number of filters, $N_i$ number of coef. for each filter $i$, $c_i$
 number of bits for coefficients of filter $i$
 \vspace{.1cm}
 %\parbox{.60\linewidth}{