Zusammenfassung
In diesem Kapitel wird ein neuronales Modell zur Verarbeitung von Schallsignalen eingeführt. Das Periodizitäts-Analyse-Netzwerk (PAN) ist ein bioinspiriertes neuronales Netzwerk spikender Neurone. Das PAN besteht aus komplexen neuronalen Modellen, die für die Untersuchung der Dynamik von einzelnen Neuronen und neuronalen Netzen benutzt werden können. Das Netzwerk kann Eigenschaften der Grundfrequenz von harmonischen Schallsignalen verarbeiten. Daher kann das PAN-Modell in klassischen schallverarbeitenden Anwendungen eingesetzt werden, wie z.B. zur Trennung von Schallquellen, zur Periodizitätsanalyse und zur Lösung des Cocktail-Party-Problems.
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Voutsas, K., Langner, G., Adamy, J., Ochse, M. (2005). Ein bionisches neuronales Netz zur Periodizitätsanalyse. In: Bionik. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26948-7_10
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DOI: https://doi.org/10.1007/3-540-26948-7_10
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