采用了一种基于编码支持向量机的多分类方法，该方法解决了SVM多分类问题的同时，有效地减少了训练和测试时间，提高了算法的效率。
We solve the multi-classification task by using a so called Coding SVM. By using this algorithm, we not only solve the classification task but also reduce the training and testing time.
本文中，给出了2种压缩测试模式的方法，一种是基于统计的哈夫曼编码，一种是基于差分运算的Golomb编码。
The paper proposes two methods for compressing tested pattern, one based on statistical Huffman code, the other based on differential Golomb code.
本文中，给出了2种压缩测试模式的方法，一种是基于统计的哈夫曼编码，一种是基于差分运算的Golomb编码。
The paper proposes two methods for compressing tested pattern, one based on statistical Huffman code, the other based on differential Golomb code.
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