• DocumentCode
    2322054
  • Title

    Vortex information retrieval system base on relaxing notch periodogram

  • Author

    Sun, Hong-Jun ; Zhang, Tao ; Duan, Rui-Feng

  • Author_Institution
    Coll. of Electr. Eng. & Autom., Tianjin Univ., China
  • Volume
    1
  • fYear
    2005
  • fDate
    18-21 Aug. 2005
  • Firstpage
    13
  • Abstract
    This paper describes the relaxing notch periodogram (RNP) method, basing on the characters of vortex signal and research findings of maximum likelihood (ML) estimate. This method possesses high frequency resolution, computational efficiency and noise immunity. Moreover, the results of simulation and experiment prove that RNP method is effective on improving flow meter accuracy, extending measuring range and strengthening anti-interference. While a low power signal processing system of vortex flowmeter is presented which is based on double-cores composed of digital signal processor (DSP) and microcontroller (MSP430). It is verified by the experiment that this system has the feature of high anti-interference, extended measuring range, low power, and real time data processing.
  • Keywords
    digital signal processing chips; flowmeters; maximum likelihood estimation; microcontrollers; vortices; digital signal processor; maximum likelihood estimation; microcontroller; noise immunity; power signal processing system; real time data processing; relaxing notch periodogram; vortex flowmeter; vortex information retrieval; vortex signal; Computational efficiency; Computational modeling; Digital signal processing; Digital signal processors; Fluid flow measurement; Frequency; Information retrieval; Maximum likelihood estimation; Microcontrollers; Signal resolution; Digital Signal Processor; Double-core; Relaxing Notch Periodogram; Vortex Flowmeter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    0-7803-9091-1
  • Type

    conf

  • DOI
    10.1109/ICMLC.2005.1526912
  • Filename
    1526912