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International Symposium on Neural Networks

ISNN 2016: Advances in Neural Networks – ISNN 2016 pp 302–309Cite as

Dynamic Noise Reduction in the System Measuring Efficiency of Light Emitting Diodes

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9719))

Abstract

Algorithm and method of signal waveform reconstruction in the problem of light emitting diodes efficiency measuring system was developed. Introduced method uses blind sequential signal extraction technique based on generalized skewness and generalized kurtosis allows to solve problem of noise reduction.

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References

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Author information

Authors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia

    Galina Malykhina & Yuri Grodetskiy

Authors
  1. Galina Malykhina
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  2. Yuri Grodetskiy
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Corresponding author

Correspondence to Galina Malykhina .

Editor information

Editors and Affiliations

  1. The Chinese Academy of Sciences, Beijing, China

    Long Cheng

  2. Huazhong University of Science and Tech., Wuhan, Jiangsu, China

    Qingshan Liu

  3. Russian Academy of Sciences, SPIIRAS, St. Petersburg, Russia

    Andrey Ronzhin

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© 2016 Springer International Publishing Switzerland

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Cite this paper

Malykhina, G., Grodetskiy, Y. (2016). Dynamic Noise Reduction in the System Measuring Efficiency of Light Emitting Diodes. In: Cheng, L., Liu, Q., Ronzhin, A. (eds) Advances in Neural Networks – ISNN 2016. ISNN 2016. Lecture Notes in Computer Science(), vol 9719. Springer, Cham. https://doi.org/10.1007/978-3-319-40663-3_35

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  • DOI: https://doi.org/10.1007/978-3-319-40663-3_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40662-6

  • Online ISBN: 978-3-319-40663-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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