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Research on Data Acquisition Algorithm Based on ZYNQ Biometric Signal

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Advancements in Mechatronics and Intelligent Robotics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1220))

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Abstract

Under the irradiation of laser, biological particles emit fluorescence and scattered light. The spectral signals composed of fluorescence and scattered light can be used to classify and recognize biological particles. The acquisition of these two kinds of optical signals needs to be converted into electrical signals for acquisition. For this electrical signal, A/D converter with extremely fast speed is needed. In the data acquisition process, ZYNQ is used to select and classify the collected signals, and the classified data is displayed on the LCD screen.

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References

  1. Rao Z, Hua D, He T et al (2016) The performance of bioaerosol measurement lidar based on intrinsic fluorescence. Acta Phys Sinica 65(20)

    Google Scholar 

  2. Cai S (2012) Research on bioaerosol detection technology based on intrinsic fluorescence measurement. University of Chinese Academy of Sciences; Graduate University of Chinese Academy of Sciences

    Google Scholar 

  3. Cai S, Zhang P, Zhu L et al (2012) Research on bioaerosol detection technology based on intrinsic fluorescence measurement of tryptophan. Acta Optica Sinica (05):127–132

    Google Scholar 

  4. Chen C (2018) Research on characteristics and application of photomultiplier tube. Digital Commun World (07):136–137

    Google Scholar 

  5. Yang J, Xu P, Chi C, Zhao W (2019) Development and application of gated microchannel plate photomultiplier tube. Photoelectronic Technol 39(01):34–38

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Physics and Electronic Information, Yunnan Normal University, Kunming, China

    Shaoquan Jiang, Xuebing Cao, Tao Jiang, Yonghang Tai & Chao Zhang

Authors
  1. Shaoquan Jiang
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  2. Xuebing Cao
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  3. Tao Jiang
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  4. Yonghang Tai
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  5. Chao Zhang
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Corresponding author

Correspondence to Yonghang Tai .

Editor information

Editors and Affiliations

  1. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

  2. Department of Computer Science and Engineering, SOA University, Bhubaneswar, India

    Srikanta Patnaik

  3. Department of Information Management and Business Analytics, Montclair State University, Montclair, NJ, USA

    John Wang

  4. Department of Computer Science and Engineering, JIS University, Kolkata, India

    Nilanjan Dey

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© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Cite this paper

Jiang, S., Cao, X., Jiang, T., Tai, Y., Zhang, C. (2021). Research on Data Acquisition Algorithm Based on ZYNQ Biometric Signal. In: Yu, Z., Patnaik, S., Wang, J., Dey, N. (eds) Advancements in Mechatronics and Intelligent Robotics. Advances in Intelligent Systems and Computing, vol 1220. Springer, Singapore. https://doi.org/10.1007/978-981-16-1843-7_28

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