Poster text
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\begin{columns}
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\begin{columns}
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\column{0.4}
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\column{0.4}
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\myblock[TranspBlock]{Introduction}{
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\myblock[TranspBlock]{Introduction}{
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The time-frequency tradeoff makes reliable signal detecion and simultaneous
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\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.
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sender identification by simple Fourier decomposition in freely interacting
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weakly electric fish impossible. This profoundly limits our current
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understanding of chirps to experiments
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with single - or physically separated - individuals.
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\vspace{1cm}
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\vspace{1cm}
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\begin{tikzfigure}[]
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\begin{tikzfigure}[]
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\label{griddrawing}
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\label{griddrawing}
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\includegraphics[width=\linewidth]{figs/introplot}
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\includegraphics[width=\linewidth]{figs/introplot}
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\end{tikzfigure}
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\end{tikzfigure}
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}
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}
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\myblock[TranspBlock]{Chirp detection}{
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\myblock[TranspBlock]{Chirp detection algorithm}{
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\begin{tikzfigure}[]
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\begin{tikzfigure}[]
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\label{fig:alg1}
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\label{fig:alg1}
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\includegraphics[width=0.9\linewidth]{figs/algorithm1}
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\includegraphics[width=0.9\linewidth]{figs/algorithm1}
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