jfriedt / IFCS2018 article

Download as
Browse Code ยป

Commit 324be9752af9eb82244b9e77b7149a7593c1a73e

Authored by Arthur HUGEAT
1 parent 549741b81b
Exists in master

Correction des petites typos.

Showing 1 changed file with 11 additions and 11 deletions Side-by-side Diff

... ... @@ -72,12 +72,12 @@
72 72 \setlength{\itemsep}{0pt}%
73 73 \setlength{\parskip}{0pt}%
74 74 \item
75   -{\bf Digital phase noise characterization}: flexibility (software defined local
  75 +{\bf Digital phase noise characterization}: flexibility (software defined local
76 76 oscillator),\\ stability (no long term drift), reconfigurabilty
77 77 $\Rightarrow$ {\bf software defined radio} oscillator \\
78 78 phase noise characterization
79 79 \item analog to digital conversion of radiofrequency signal, software
80   -defined local oscillator,
  80 +defined local oscillator,
81 81 mixer and {\bf low pass filter}
82 82 \item low pass filter uses most resources and introduces latency (phase delay
83 83 in feedback loop): needs to be optimized
... ... @@ -100,7 +100,7 @@
100 100 \vspace{-.40cm}
101 101 \addblock{0.44\textwidth}{
102 102 % \begin{enumerate}[noitemsep,nolistsep]
103   -% \item
  103 +% \item
104 104 \textbf{Classical way:}\\
105 105 Compute the transfer function of a monolithic filter
106 106 \begin{itemize}[label=$\Rightarrow$, noitemsep, nolistsep]
107 107  
108 108  
... ... @@ -113,12 +113,12 @@
113 113 \addblock{0.40\textwidth}{
114 114 % \begin{enumerate}
115 115 % \setcounter{enumi}{1}
116   -% \item
  116 +% \item
117 117 \textbf{Alternative way (our focus):}\\
118 118 Chain of small filters
119 119 \begin{itemize}[label=$\Rightarrow$, noitemsep, nolistsep]
120   - {\color{Green}\item Great rejection}
121 120 {\color{Green}\item Consume less resources on FPGA}
  121 + {\color{Green}\item Great rejection}
122 122 {\color{Red}\item Harder way to design filter}
123 123 \end{itemize}
124 124 % \end{enumerate}
125 125  
126 126  
127 127  
... ... @@ -129,20 +129,20 @@
129 129  
130 130 The 2\textsuperscript{nd} way could be considered as an optimization problem:
131 131 \begin{itemize}[noitemsep,nolistsep]
132   - \item One or many {\bf performance criteria} (rejection, noise,
  132 + \item One or many {\bf performance criteria} (rejection, noise,
133 133 throughput...)
134 134 \item Limited {\bf resources} (on FPGA)
135 135 \end{itemize}
136   - Translation into a Mixed-Integer Linear Programming (MILP) with GLPK solver
  136 + Translation into a Mixed-Integer Linear Programming (MILP) with GLPK solver. We have
137 137 3 degrees of freedom:
138 138  
139 139 \vspace{.1cm}
140 140 %\parbox{.60\linewidth}{
141 141 % \begin{enumerate}[noitemsep,nolistsep]
142   -% \item
  142 +% \item
143 143 \noindent
144 144 size of chain filters,
145   -% \item
  145 +% \item
146 146 number of coefficients for each filter $i$: $N_i$,
147 147 % \item
148 148 number of bits for each coefficients and for each filter $i$: $c_i$
... ... @@ -194,7 +194,7 @@
194 194 {Criterion=max value of rejection}
195 195 \end{minipage}
196 196 \vspace{0.4cm}
197   - \item {\bf Rejection}: the last configuration is better than the first but worse
  197 + \item {\bf Rejection}: the last configuration is better than the first one but worse
198 198 than the monolithic filter
199 199 \item Resources {\bf consumption}: last filter is better than the single monolithic filter
200 200 (monolithic does not fit in available resources)
... ... @@ -209,7 +209,7 @@
209 209 \end{tabular}
210 210 % \captionof{table}{Resources consumption when we use the configuration with the custom criterion}
211 211 \end{center}
212   - \item Series of filters: targetd rejection level (-160~dB) reached since less
  212 + \item Series of filters: target rejection level (-160~dB) reached since less
213 213 resources are needed than with a monolithic filter
214 214 \end{itemize}
215 215 \hrule{\hfill}