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
Link To Document :
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