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Renamed moving average filter to box filter

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MBulli
2018-02-19 22:26:47 +01:00
parent 601a93552d
commit 6ffa7d1c15
5 changed files with 99 additions and 38 deletions
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tex/chapters/kde.tex
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@@ -118,7 +118,7 @@ Using the Gaussian kernel from \eqref{eq:gausKern} in conjunction with \eqref{eq
The above formula is a convolution operation of the data and the Gaussian kernel.
More precisely it is a discrete convolution of the finite data grid and the Gaussian function.
In terms of DSP this is analogous to filter the binned data with a Gaussian filter.
This finding allows to speedup the computation of the density estimate by using a fast approximation scheme based on iterated moving average filters.
This finding allows to speedup the computation of the density estimate by using a fast approximation scheme based on iterated box filters.
\commentByToni{hier vielleicht nochmal explizit erwähnen, also mit Namen, das der Gauss jetzt die BKDE approximiert und das diese erkenntniss toll und wichtig ist, weil wir so ein komplexes problem total einfach und schnell dargestellt haben. \commentByMarkus{Reicht das so?}}