结果表明，该方法在穷举量约为241时，能恢复出输入输出变换的子密钥信息以及密文对应的明文信息。
Result shows that this method can obtain the sub-keys and the corresponding plaintexts when the computing complexity of the improving attack is about 241.
在传递函数模型中，这些方程经过（拉氏）变换，并消去中间变量，以求得所选定的输入输出变量间的关系。
In transfer function models these equations are transformed and variables are eliminated between them to find the relation between selected input and output variables.
利用小波变换所具有的良好的时频分析特性，实现了输入输出之间映射关系的多分辨学习。
The good localization characteristics of wavelet functions in both time and frequency space allowed hierarchical multi-resolution learning of input-output data mapping.
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