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| author | Philipp Le <philipp-le-prviat@freenet.de> | 2020-06-14 23:23:41 +0200 |
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| committer | Philipp Le <philipp-le-prviat@freenet.de> | 2021-03-04 22:44:39 +0100 |
| commit | 1810d825322a2d1768315bad5a1b9759785057ff (patch) | |
| tree | c133a00d475a99c81996cb15b938e43650790d80 /chapter05 | |
| parent | 0460ef3f9231fc50ca65078594f885640399ccd5 (diff) | |
| download | dcs-lecture-notes-1810d825322a2d1768315bad5a1b9759785057ff.zip dcs-lecture-notes-1810d825322a2d1768315bad5a1b9759785057ff.tar.gz dcs-lecture-notes-1810d825322a2d1768315bad5a1b9759785057ff.tar.bz2 | |
WIP: Chapter 7 - Spread Spectrum
Diffstat (limited to 'chapter05')
| -rw-r--r-- | chapter05/content_ch05.tex | 5 |
1 files changed, 3 insertions, 2 deletions
diff --git a/chapter05/content_ch05.tex b/chapter05/content_ch05.tex index 2716023..f598e65 100644 --- a/chapter05/content_ch05.tex +++ b/chapter05/content_ch05.tex @@ -1980,7 +1980,8 @@ All digital modulation techniques take time-discrete and value-discrete data. \item Each instantaneous value of the time-discrete data points is prolonged to the symbol period $T_{sym}$. In fact, it becomes a rectangle function. \item The result is a series of symbols $x_{sym}(t)$. \end{itemize} -\end{itemize} +\end{itemize}% +\nomenclature[St]{$T_{sym}$}{Symbol period, smybol duration} The process of converting time-discrete symbols to time-continuous rectangle functions can be mathematically described by: \begin{equation} @@ -2581,7 +2582,7 @@ The number $K_m$ of the $K_m$-\acs{QAM} selects the number of possible symbols i \vspace{1em} - The transmission bandwidth is related symbol rate $f_{sym}$. + The transmission bandwidth is related symbol rate $f_{sym}$. \nomenclature[St]{$f_{sym}$}{Transission bandwidth} \begin{itemize} \item Simple approximations set the symbol rate $f_{sym}$ and transmission equal. \item However, the exact transmission bandwidth depends on the selection of filters and the modulation technique. |