VLP recognization of combining wavelet transform and independent component analysis
Chao Gao · Beijing shengwu yixue gongcheng · 2008
The VLP signal is hardly detected and distinguished because of its complexity complicacy and differences exist in individual,so it is meaningful that we seek and consummate the method of VLP analyses.According to the characteristics of EEG signal,WICA,a new approach of combining wavelet transform and ICA,is proposed.The main idea of this new method is then applied to the sub-band signals at different wavelet scale to get the coefficient array,then we search the demixing matrix computed according the ICA,and we can get the independent component of VLP.The experiment results show that WICA can overcome the difficulties caused by low resolution of traditional methods and get better result of VLP pattern recognition.