稀疏矩阵在随机振动实验数据处理中的应用

Application of Sparse Matrix in Random Vibration Experiment Data

利用MATLAB工具箱中处理稀疏矩阵的算法代替原先满矩阵的求解运算过程,一方面提高了计算机的可利用资源,另一方面也大大缩短了处理实验数据的时间,确保了实验系统的稳定性与实时性。

The arithmetics of dealing with full matrix are replaced by the ones of sparse matrix in MABLAB. On the one hand, the available resources of computer are utilized better,On the other hand, spent experiment time is reduced greatly. Thus, the stability of experiment system will get guarantee.