On this basis, the mobility circle fitting method for identifying the complex modal parameters from frequency response data is discussed.
在此基础上，介绍了由频响数据识别复模态参数的导纳圆拟合法。
Then, the transformation equations relating physical parameters with admittance parameters and those relating complex modal parameters with real ones were determined.
讨论了阻抗参数与导纳参数，复模态参数与实模态参数的转比关系；
This paper offers an assumed model called system weighted Average Tranafer Function of a linear vibration system to identify the complex modal parameters by using multi-point measured frequency data.
本文提出用多点频响函数来识别系统的复模态参数，建立了系统加权平均传递函数的假设模型。
The severe numerical instability in complex frequency modal mass identification from frequency response function makes it difficult to identify physical parameters.
利用频响函数识别复频率模态质量存在着严重的数值计算不稳定性，给物理参数的识别造成困难。
Complex modal analysis is then performed to calculate the eigenvalues and eigenvectors, and then modal parameters are obtained.
采用复模态分析求取特征值和特征向量，进而得到系统的模态参数。
Based upon complex modal synthesis and optimization techniques, a method for identifying physical parameters of substructures is proposed in this paper.
本文基于复模态综合和优化技术，提出一种子结构物理参数识别方程。
Modal parameters and vibration type were obtained by the method of least squares time domain, complex modal analysis and the experimental data.
并利用时域最小二乘法和复模圆法对实验数据进行了三维的模态参数和振型分析。
Modal parameters and vibration type were obtained by the method of least squares time domain, complex modal analysis and the experimental data.
并利用时域最小二乘法和复模圆法对实验数据进行了三维的模态参数和振型分析。
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