It shows that the presented method can be used to identify modal parameters effectively under ambient excitation and that the polynomial eigenvalue method is superior to the augmented matrix method.
结果表明，多参考点互相关差分模型能够有效地进行环境激励下的模态识别，并且多项式特征值法比增广矩阵法所得结果更好。
The superior boundary and below boundary of the real symmetry matrix eigenvalue is estimated based on secondary programming in this paper.
本文给出了实对称矩阵最大与最小特征值的一种估计方法及其应用。
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