Approach Based on ICA and SVM to Identify Field Mixed Acoustic Targets
Fugui Huang, Gong Chen, Xiongwei Zhang · 2006
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