Application of subclass independent component analysis in acoustic target identification
Yupeng Zhang · Shengxue jishu · 2007
We propose a new method of multi-targets identification based on independent component an-alysis (ICA) and decision directed acyclic graph support vector machine (DDAGSVMs),which overcomes defects of proposed targets identification. Features of the acoustic wave is extracted by ICA based on the higher-order statistics. Support vector machine (SVM) is applied in targets recognition. Finally we describe experiments based on ICA and SVM. The results show that the new method is an intelligent measure to identify acoustic targets,and has broad application prospects.