diff --git a/ifcs2018_poster.tex b/ifcs2018_poster.tex
index 1a7144f..96e72bb 100644
--- a/ifcs2018_poster.tex
+++ b/ifcs2018_poster.tex
@@ -72,12 +72,12 @@ $^{*}$FEMTO-ST, Time \& Frequency dept., Besan\c con, France
 \setlength{\itemsep}{0pt}%
 \setlength{\parskip}{0pt}%
 \item
-{\bf Digital phase noise characterization}: flexibility (software defined local 
+{\bf Digital phase noise characterization}: flexibility (software defined local
 oscillator),\\ stability (no long term drift), reconfigurabilty
 $\Rightarrow$ {\bf software defined radio} oscillator \\
 phase noise characterization
 \item analog to digital conversion of radiofrequency signal, software
-defined local oscillator, 
+defined local oscillator,
 mixer and {\bf low pass filter}
 \item low pass filter uses most resources and introduces latency (phase delay
 in feedback loop): needs to be optimized
@@ -100,7 +100,7 @@ in feedback loop): needs to be optimized
 \vspace{-.40cm}
   \addblock{0.44\textwidth}{
 %  \begin{enumerate}[noitemsep,nolistsep]
-%    \item 
+%    \item
 \textbf{Classical way:}\\
     Compute the transfer function of a monolithic filter
     \begin{itemize}[label=$\Rightarrow$, noitemsep, nolistsep]
@@ -113,12 +113,12 @@ in feedback loop): needs to be optimized
   \addblock{0.40\textwidth}{
 %  \begin{enumerate}
 %    \setcounter{enumi}{1}
-%    \item 
+%    \item
 \textbf{Alternative way (our focus):}\\
     Chain of small filters
     \begin{itemize}[label=$\Rightarrow$, noitemsep, nolistsep]
-      {\color{Green}\item Great rejection}
       {\color{Green}\item Consume less resources on FPGA}
+      {\color{Green}\item Great rejection}
       {\color{Red}\item Harder way to design filter}
     \end{itemize}
 %  \end{enumerate}
@@ -129,20 +129,20 @@ in feedback loop): needs to be optimized
 
   The 2\textsuperscript{nd} way could be considered as an optimization problem:
     \begin{itemize}[noitemsep,nolistsep]
-      \item One or many {\bf performance criteria} (rejection, noise, 
+      \item One or many {\bf performance criteria} (rejection, noise,
 throughput...)
       \item Limited {\bf resources} (on FPGA)
     \end{itemize}
-  Translation into a Mixed-Integer Linear Programming (MILP) with GLPK solver
+  Translation into a Mixed-Integer Linear Programming (MILP) with GLPK solver. We have
   3 degrees of freedom:
 
 \vspace{.1cm}
 %\parbox{.60\linewidth}{
 %  \begin{enumerate}[noitemsep,nolistsep]
-%    \item 
+%    \item
 \noindent
 size of chain filters,
-%    \item 
+%    \item
 number of coefficients for each filter $i$: $N_i$,
 %   \item
 number of bits for each coefficients and for each filter $i$: $c_i$
@@ -194,7 +194,7 @@ number of bits for each coefficients and for each filter $i$: $c_i$
 {Criterion=max value of rejection}
   \end{minipage}
 \vspace{0.4cm}
-  \item {\bf Rejection}: the last configuration is better than the first but worse 
+  \item {\bf Rejection}: the last configuration is better than the first one but worse
 than the monolithic filter
   \item Resources {\bf consumption}: last filter is better than the single monolithic filter
 (monolithic does not fit in available resources)
@@ -209,7 +209,7 @@ than the monolithic filter
     \end{tabular}
 %    \captionof{table}{Resources consumption when we use the configuration with the custom criterion}
   \end{center}
-  \item Series of filters: targetd rejection level (-160~dB) reached since less
+  \item Series of filters: target rejection level (-160~dB) reached since less
 resources are needed than with a monolithic filter
 \end{itemize}
 \hrule{\hfill}