raab/GP2023_chirp_detection
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Poster text

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sprause 2023-01-26 14:38:32 +01:00
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poster/main.tex
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@ -17,18 +17,14 @@ blockverticalspace=2mm, colspace=20mm, subcolspace=0mm]{tikzposter} %Default val
\begin{columns}
\column{0.4}
\myblock[TranspBlock]{Introduction}{
The time-frequency tradeoff makes reliable signal detecion and simultaneous
sender identification by simple Fourier decomposition in freely interacting
weakly electric fish impossible. This profoundly limits our current
understanding of chirps to experiments
with single - or physically separated - individuals.
\textbf{Chirps} are the most common communication signals in weakly electric fish. They are characterized by \textbf{short frequency excursions} and are emitted during various social contexts. It is nearly impossible to reliably \textbf{detect and assign} chirps in freely interacting fish using only a Fourier transform. To overcome these limits, we developed a new method of \textbf{dynamic feature extraction} and classification.
\vspace{1cm}
\begin{tikzfigure}[]
\label{griddrawing}
\includegraphics[width=\linewidth]{figs/introplot}
\end{tikzfigure}
}
\myblock[TranspBlock]{Chirp detection}{
\myblock[TranspBlock]{Chirp detection algorithm}{
\begin{tikzfigure}[]
\label{fig:alg1}
\includegraphics[width=0.9\linewidth]{figs/algorithm1}