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Multidimensional Signal Transformation Based on Distributed Classification Grid and Principal Component Analysis

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Artificial Intelligence and Soft Computing (ICAISC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10246))

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Abstract

In the paper, the analysis of audio signal and spectral analysis based on sounds recorded by the authors are proposed. To perform the spectral analysis, the authors apply independent Principal Component Analysis. In this paper, we propose a novel approach to Distributed Classification Grid to improve performance and accelerate execution time.

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Correspondence to Piotr Milczarski .

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Wyczechowski, M., Was, L., Wiak, S., Milczarski, P., Stawska, Z., Pietrzak, L. (2017). Multidimensional Signal Transformation Based on Distributed Classification Grid and Principal Component Analysis. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2017. Lecture Notes in Computer Science(), vol 10246. Springer, Cham. https://doi.org/10.1007/978-3-319-59060-8_19

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  • DOI: https://doi.org/10.1007/978-3-319-59060-8_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59059-2

  • Online ISBN: 978-3-319-59060-8

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