Abstract
A neuro-fuzzy based filter for acoustic filtering is described. In order to perform temporal filtering, a proper architecture was developed exploiting a buffer memory. Subband analysis was used. This led to an architecture composed of a QMF filter bank, a neuro-fuzzy network for each subband and a reconstruction QMF filter bank Many simulation results are described relative to signals captured from real acoustic scenarios.
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Poluzzzi, R., Savi, A. (2003). Neuro-fuzzy Filtering Techniques for the Analysis of Complex Acoustic Scenarios. In: Bonarini, A., Masulli, F., Pasi, G. (eds) Soft Computing Applications. Advances in Soft Computing, vol 18. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1768-3_13
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DOI: https://doi.org/10.1007/978-3-7908-1768-3_13
Publisher Name: Physica, Heidelberg
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Online ISBN: 978-3-7908-1768-3
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