• DocumentCode
    2796664
  • Title

    Ultrasonic Data Acquisition: Signal to Noise Ratio Improvement

  • Author

    Buchman, Attila ; Tisan, Alin ; Oniga, Stefan

  • Author_Institution
    Univ. de Nord, Baia Mare
  • fYear
    2007
  • fDate
    9-13 May 2007
  • Firstpage
    393
  • Lastpage
    398
  • Abstract
    In this paper an ultrasonic data acquisition system and a digital signal processing algorithm in order to improve signal to noise ratio and ensure the envelope detection are presented. The data acquisition system is based on an ADuC812 micro-converter and a pair of MA400ST/R ultrasonic transducers. The received data are transmitted to a host computer via an RS232 serial interface. The digital signal processing is performed in Matlab, and, makes extensive use of the well known moving average filter (MAF) algorithm. MAF are extensively used as low-pass filters due to their good smoothing performance and ease of implementation in software and hardware as well. In this paper we will demonstrate that using the same MAF algorithm, one can address all the filtering tasks (low-pass, high-pass, notch), implied by the process of envelope detection of ultrasonic echoes.
  • Keywords
    data acquisition; low-pass filters; signal processing; ultrasonic devices; ADuC812 microconverter; MA400ST/R ultrasonic transducers; Matlab; RS232 serial interface; digital signal processing algorithm; envelope detection; low-pass filters; moving average filter; signal to noise ratio improvement; ultrasonic data acquisition system; Computer interfaces; Data acquisition; Digital filters; Digital signal processing; Envelope detectors; Low pass filters; Signal processing algorithms; Signal to noise ratio; Smoothing methods; Ultrasonic transducers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics Technology, 30th International Spring Seminar on
  • Conference_Location
    Cluj-Napoca
  • Print_ISBN
    987-1-4244-1218-1
  • Electronic_ISBN
    987-1-4244-1218-1
  • Type

    conf

  • DOI
    10.1109/ISSE.2007.4432886
  • Filename
    4432886