• DocumentCode
    717304
  • Title

    Active noise control in the concept of IoT

  • Author

    Galambos, Robert ; Sujbert, Laszlo

  • Author_Institution
    Dept. of Meas. & Inf. Syst., Budapest Univ. of Technol. & Econ., Budapest, Hungary
  • fYear
    2015
  • fDate
    27-30 May 2015
  • Firstpage
    133
  • Lastpage
    137
  • Abstract
    This paper introduces a “proof of concept” system for Active Noise Control (ANC) where the audio data from the reference microphones are travelling through the already existing Ethernet network. The system realizes the active noise control with the help of a multi channel DSP card. The noise control algorithm is the Filtered Error Least Mean Square (ELMS) - an LMS variant -, which has already proven its efficiency previously in different environments. The audio data from the reference microphone to the DSP card are digitalised with the help of an ADSP-BF537 Ez-Lite Kit, and transmitted over Ethernet to a counterpart ADSP-BF537 Ez-Lite Kit card, which converts it back to an analogue signal to be able to be fed into the multi channel DSP card. The article highlights the usage of Ethernet network for audio transmission, and shows the problems that are caused by the properties of such medium, as well as the potential that lies in it. The working of the system and its efficiency is illustrated by measurement results.
  • Keywords
    Internet of Things; active noise control; audio signal processing; digital signal processing chips; least mean squares methods; local area networks; microphones; ADSP-BF537 Ez-Lite Kit; ANC; ELMS; Ethernet network; Internet of Things; IoT; active noise control; audio data; filtered error least mean square; multi channel DSP card; proof of concept system; reference microphones; Digital signal processing; Least squares approximations; Local area networks; Microphones; Noise; Protocols; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Carpathian Control Conference (ICCC), 2015 16th International
  • Conference_Location
    Szilvasvarad
  • Print_ISBN
    978-1-4799-7369-9
  • Type

    conf

  • DOI
    10.1109/CarpathianCC.2015.7145061
  • Filename
    7145061