There is noise in the experimental. We obtain the impact of Gaussian white noise of background when classification by change the signal to noise ratio SNR(5) As for feature classification method. Support vector machines is to be use for verifying the above-mentioned method (2) and (3) in this paper. The effectiveness of the experimental results show that the method proposed in this paper is fully effective.All in all, although the AR-Burg spectral feature extraction and SVM classification of this paper is applied successfully in the field of wireless sensor networks, and obtain certain effects from experiment, but there are still many omissions and deficiencies need to be improved..
