From 6de4fd10e7ebf4f13dcbc494d567d5dfe6d19eb5 Mon Sep 17 00:00:00 2001 From: Arthur HUGEAT Date: Fri, 2 Aug 2019 12:48:09 +0200 Subject: [PATCH] Correction --- ifcs2018_journal.tex | 6 +++--- ifcs2018_journal_reponse.tex | 19 +++++++------------ 2 files changed, 10 insertions(+), 15 deletions(-) diff --git a/ifcs2018_journal.tex b/ifcs2018_journal.tex index 241874a..3c93c5f 100644 --- a/ifcs2018_journal.tex +++ b/ifcs2018_journal.tex @@ -345,10 +345,10 @@ are two different filters with maximums and notches not located at the same freq Hence when summing the transfer functions, the resulting rejection shown as the dashed yellow line is improved with respect to a basic sum of the rejection criteria shown as a the dotted yellow line. % r2.9 -Thus, estimating the rejection of filter cascades is more complex than taking the sum of all the rejection +Thus, estimating the rejection of filter cascades is more complex than {\color{red}taking} the sum of all the rejection criteria of each filter. However since the {\color{red}individual filter rejection} sum underestimates the rejection capability of the cascade, % r2.10 -this upper bound is considered as a conservative and acceptable criterion for deciding on the suitability +this upper bound is considered as a {\color{red}conservative} and acceptable criterion for deciding on the suitability of the filter cascade to meet design criteria. \begin{figure} @@ -370,7 +370,7 @@ in this paper.} Based on this analysis, we address the estimate of resource consumption (called % r2.11 -silicon area -- in the case of FPGAs this means processing cells) as a function of +silicon area -- in the case of FPGAs {\color{red}this means} processing cells) as a function of filter characteristics. As a reminder, we do not aim at matching actual hardware configuration but consider an arbitrary silicon area occupied by each processing function, and will assess after synthesis the adequation of this arbitrary unit with actual diff --git a/ifcs2018_journal_reponse.tex b/ifcs2018_journal_reponse.tex index 77fbc18..31fe8fb 100644 --- a/ifcs2018_journal_reponse.tex +++ b/ifcs2018_journal_reponse.tex @@ -325,11 +325,6 @@ Juste mettre une phrase pour dire que la mean ne donnait pas de bons résultats {\bf - Page 3, line 55: ``maximum rejection'' is not compatible with fig. 4. % r2.8 - fait It should be ``minimum'' -} - -This typo has been corrected. - -{\bf - Page e, line 55, second column: ``takin'' % r2.9 - fait - Page 3, line 58: ``pessimistic'' should be replaced with ``conservative'' % r2.10 - fait - Page 4, line 17: ``meaning'' $\rightarrow$ ``this means'' % r2.11 - fait @@ -341,14 +336,14 @@ All typos and grammatical errors have been corrected. - Page 4, line 10: how $p$ is chosen? Which is the criterion used to choose % r2.12 - fait these particular configurations? Are they chosen automatically? } -C'est le nombre de coefficients et un taille raisonnable -Troncature de la pyramide +% C'est le nombre de coefficients et un taille raisonnable +% Troncature de la pyramide See below: we have added a better description of $p$ during the transformation explanation. -``we introduce $p$ FIR configurations. -This variable must be defined by the user, it represent the number of different -set of coefficients generated (for memory, we use \texttt{firls} and \texttt{fir1} -functions from GNU Octave)'' +``This variable $p$ is defined by the user, and represents the number of different +set of coefficients generated (remember, we use \texttt{firls} and \texttt{fir1} +functions from GNU Octave) based on the targeted filter characteristics and implementation +assumptions (estimated number of bits defining the coefficients)'' {\bf - Page 4, line 31: how does the delta function transform model from non-linear % r2.13 @@ -398,7 +393,7 @@ paragraph ``This model is non-linear and even non-quadratic...''. {\bf - Captions of figure and tables are too minimal. % r2.14 } -We have change the captions of fig 10-16. +We have change the captions of tables and figures. {\bf - Figures can be grouped: fig. 10-12 can be grouped as three subplots (a, b, c) % r2.15 - fait -- 2.16.4