final version poster
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\begin{columns}
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\column{0.4}
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\myblock[TranspBlock]{Introduction}{
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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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\textbf{Chirps} are one type of communication signals in weakly electric fish. They are characterized by \textbf{short frequency excursions} and are emitted during various social contexts. The time-frequency uncertainty of the Fourier transform makes it nearly impossible to reliably \textbf{detect and assign} chirps in freely interacting fish based on spectral methods. To overcome these limits, we developed a method based on \textbf{dynamic filtering} and subsequent \textbf{feature detection}.
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\vspace{1cm}
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\begin{tikzfigure}[]
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\label{griddrawing}
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poster/poster.pdf
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poster/poster.pdf
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