DocumentCode
2289580
Title
Approach Based on ICA and SVM to Identify Field Mixed Acoustic Targets
Author
Huang, Fugui ; Chen, Gong ; Zhang, Xiongwei
Author_Institution
Dept. of Electron. Inf. Eng., ICE of PLAUST, Nanjing
fYear
2006
fDate
16-19 Oct. 2006
Firstpage
1
Lastpage
4
Abstract
With ICA to realize the blind separation from mixed acoustic targets, an identification method based on SVM is proposed through extracting LPC feature. SVM is employed to compute the output score and k-means algorithm is used as cluster LPC coefficients. Finally targets are identified by hybrid model. Simulation indicates that this method is effective in mixed acoustic targets identification system
Keywords
acoustic signal processing; blind source separation; feature extraction; identification; independent component analysis; support vector machines; ICA; SVM; cluster LPC coefficient; independent component analysis; k-means algorithm; mixed acoustic target identification system; support vector machine; Acoustic noise; Acoustic waves; Clustering algorithms; Degradation; Feature extraction; Helicopters; Independent component analysis; Linear predictive coding; Signal analysis; Support vector machines; ICA; LPC; SVM; identification; mixed target;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar, 2006. CIE '06. International Conference on
Conference_Location
Shanghai
Print_ISBN
0-7803-9582-4
Electronic_ISBN
0-7803-9583-2
Type
conf
DOI
10.1109/ICR.2006.343533
Filename
4148214
Link To Document