A new adaptive recursive algorithm for eigenvector estimation based on the relations between KLT and sliding DCT was presented.
基于KLT与滑动dct的相似关系，提出了一种新的特征向量自适应递推估计算法。
To get sparse sample library and reduce eigenvector dimension, a new concept of reconstructing sample library and its corresponding algorithm are introduced and presented, respectively.
提出重构样本库的概念及构建算法，获得稀疏样本库，减少特征向量维数。
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