基于改进K-L变换的特征提取技术

在模式识别中,为解决样本增加时,反复使用传统K L变换进行特征提取耗时多的缺点,提出了一种改进的K L变换方法,该方法利用快速递推算法来计算协方差矩阵,并使用矩阵扰动理论来求解协方差矩阵的特征值和特征向量。仿真试验表明该方法在确保计算精度的前提下,大大减少了运算时间。

An Improved K-L Transform for Feature Extraction

In order to surmount the disadvantage that much time is consumed for feature extraction with traditional K L transform, an improved K L transform method in pattern recognition is presented. This improved method gets covariance matrix with recursion algorithm and computes the eigenvalues and eigenvectors of the covariance matrix with matrix perturbation theory. The simulation results show that compared with the traditional method, the consuming time with this method is sharply decreased, and the computing precision is kept.