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Design of Sample Integrator and Data Correlations Process for High Accuracy Ultraviolet Photometer

  • Conference paper
Book cover Advanced Research on Computer Science and Information Engineering (CSIE 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 153))

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Abstract

The sample integrators is a key circuit in it and the data processing algorithm play an important role on its precision and processing speed. This paper designed a novel sample integrator and data correlation processing algorithm for improving ultraviolet spectrum photometer. Compared with the tradition spectral analysis method, the designed device is very practical with the characteristics of simple operation, quick analysis speed; high sensitivity and accuracy, good selectivity.

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References

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Author information

Authors and Affiliations

  1. Huazhong University of Science and Technology, Wuahn, China, 430074

    Ping Chuan Zhang

  2. Dept. of Machine and Electronic Engineering, Luohe Vocational Technology College, Henan Province, China, 462002

    Ping Chuan Zhang, Hai Liang Xie & Hang Sen Zhang

Authors
  1. Ping Chuan Zhang
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  2. Hai Liang Xie
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  3. Hang Sen Zhang
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Editor information

Editors and Affiliations

  1. Wuhan University of Science and Technology, Zhongnan Branch, No.18, Jiangxia Road, Wuhan, China

    Gang Shen

  2. International Science & Education Researcher Association Wuhan Branch, No.1, Jiangxia Road, Wuhan, China

    Xiong Huang

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© 2011 Springer-Verlag Berlin Heidelberg

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Zhang, P.C., Xie, H.L., Zhang, H.S. (2011). Design of Sample Integrator and Data Correlations Process for High Accuracy Ultraviolet Photometer. In: Shen, G., Huang, X. (eds) Advanced Research on Computer Science and Information Engineering. CSIE 2011. Communications in Computer and Information Science, vol 153. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21411-0_15

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  • DOI: https://doi.org/10.1007/978-3-642-21411-0_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21410-3

  • Online ISBN: 978-3-642-21411-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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