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