【作者】 刘帅；

【导师】 裴承鸣；

【作者基本信息】 西北工业大学 ， 信号与信息处理， 2005， 硕士

【摘要】 非平稳随机信号分析是现代数字信号处理的一个重要分支,而基于时变参数建模的自适应时频分析是处理非平稳信号的一个有效工具。其中,如何对信号选取适当的基时间函数建模是一个难点,也是一项具有积极学术意义和明确应用价值的课题。本文在系统学习现有时频分析的基础上,提出了递推时频分析思想,详细研究了基于时变参数建模的自适应时频分析方法,并通过理论分析和数字仿真完成了相应的数值特性与立应用特性研究。 根据颤振试验的原理和特点,本文将基于时变参数建模的自适应时频分析算法引入到飞机结构亚临界响应分析的颤振边界预测(FBP)研究当中,提出了适用于连续变速颤振试验的FBP方法。经数字仿真及在某型飞机气弹模型低速风洞颤振试验数据处理,验证了本文方法的可行性、可靠性和工程实用性。 本文相关数值仿真与分析软件基于Labview虚拟仪器设计开发。更多还原

【Abstract】 Nonstationary signal processing is a branch of modern digital signal processing. Being as an effective tool of nonstationary signal processing, adaptive time-frequency analysis is rapidly developed by using time-varying parameter modeling. How to select time base functions and model is great significance. In this thesis, the theory of time-frequency analysis, especially adaptive time-frequency analysis is considered. New method of adaptive time-frequency analysis is proposed. The characteristics of the method are studied by numerical simulation. The results show that the method is reasonable and feasible.Focused on the features and requirements of flutter test data processing, the method presented here is introduced into flutter boundary prediction based on subcritical turbulence response. By using computer simulation and flutter test of low-speed wind-tunnel of aeroelastical mode, the features of the scheme are investigated. Especially, the technique can be expanded to the flutter test with variable speed.The related software is developed on Labview6.1 for Windows.更多还原