A Brain Computer Interface (BCI) using Fractional Fourier Transform with Time Domain Normalization and Heuristic Weight Adjustment

摘要：

The Brain Computer Interface (BCI) using the Fractional Fourier Transform (FRFT) arises as the generalization of work done on thought classification through the Fourier Transform (FT),given that the FT is a particular case of the FRFT,thus adding new dimensions that increase the accuracy of the correct thought classification.In this work Time Domain normalization has been used in the preprocessing stage.Fractional Fourier transform is used for the purpose of feature extraction.Exact Radial Basis Neural networks are used for the classification of signals and heuristic weight adjustment of neural networks was done in final decision making.Tests carried out on two different datasets give an accuracy of more than 84％ and 87％ respectively.

作者: Muhammad Bilal Khalid Naveed Iqbal Rao Intisar Rizwan-i-Haque Sarmad Munir Farhan Tahir

作者单位: Image Processing Centre,MCS,NUST Pakistan.

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）