• DocumentCode
    1615743
  • Title

    Vehicle audio signal estimation of AR model and power spectrum estimation based on artificial neural network

  • Author

    Hongfeng Wei

  • Author_Institution
    Coll. of Eng., Bohai Univ., Jinzhou, China
  • fYear
    2013
  • Firstpage
    876
  • Lastpage
    881
  • Abstract
    A method for estimating AR model parameters and power spectrum of vehicle audio signals was introduced. Three layer with recessive neuron as linear transfer function in artificial neural network was used in the paper. Experiment proved that the AR model parameters and power spectrum of vehicle audio signals estimated by the method of artificial neural networks can get the same result as Burg algorithm. This result showed that the method of artificial neural networks was effective.
  • Keywords
    audio signal processing; autoregressive processes; neural nets; road traffic; signal classification; traffic engineering computing; AR model; Burg algorithm; artificial neural network; autoregressive model; power spectrum estimation; recessive neuron; vehicle audio signal estimation; Artificial neural networks; Equations; Mathematical model; Spectral analysis; Transfer functions; Vehicles; White noise; AR model; Artificial Neural Network; power spectrum; vehicle audio signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Chinese Automation Congress (CAC), 2013
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-0332-0
  • Type

    conf

  • DOI
    10.1109/CAC.2013.6775856
  • Filename
    6775856