[bootlin/training-materials updates] master: slides/graphics-theory: use "signal processing" (fdebcc40)

[Thomas Petazzoni]

Repository : https://github.com/bootlin/training-materials
On branch  : master
Link       : https://github.com/bootlin/training-materials/commit/fdebcc402b91ddc60b3d5dfa29583d1185c7b1e8

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commit fdebcc402b91ddc60b3d5dfa29583d1185c7b1e8
Author: Thomas Petazzoni <thomas.petazzoni at bootlin.com>
Date:   Thu Sep 19 14:41:20 2019 +0200

    slides/graphics-theory: use "signal processing"
    
    Signed-off-by: Thomas Petazzoni <thomas.petazzoni at bootlin.com>


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fdebcc402b91ddc60b3d5dfa29583d1185c7b1e8
 slides/graphics-theory/graphics-theory.tex | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/slides/graphics-theory/graphics-theory.tex b/slides/graphics-theory/graphics-theory.tex
index 6e9f54cd..407eb831 100644
--- a/slides/graphics-theory/graphics-theory.tex
+++ b/slides/graphics-theory/graphics-theory.tex
@@ -99,7 +99,7 @@ F(u,v) = \int_{-\infty}^{+\infty} \int_{-\infty}^{+\infty} f(x,y)e^{-j2\pi(ux+uy
   \item The transform decomposes the domain in \textbf{periodic patterns}
   \item Adapted for discrete signals as \textbf{Discrete Fourier Transform}
   \item Implemented with optimized algorithms as \textbf{Fast Fourier Transform} (FFT)
-  \item \textbf{Frequency domain analysis} is very useful for signal treatment\\
+  \item \textbf{Frequency domain analysis} is very useful for signal processing\\
     \textit{used at the roots of image compression}
   \end{itemize}
 \end{frame}
@@ -799,7 +799,7 @@ o_{x,y} = \alpha_0 i_{x,y} + \alpha_1 i_{x-1,y} + \alpha_2 i_{x+1,y} + ...
     \end{itemize}
   \item Corresponds to a \textbf{convolution} operation between pixels and the filter kernel
   \item High computational cost (optimizations are implemented)
-  \item Allows many applications for 2D signal treatment
+  \item Allows many applications for 2D signal processing
   \end{itemize}
 \end{frame}