【作者】 蒋韶辉；

【导师】 裴承鸣；

【作者基本信息】 西北工业大学 ， 信号与信息处理， 2004， 硕士

【摘要】 二十世纪末以来，小波变换由于其所具有的优良性质，在理论、方法和应用技术方面得到了快速的发展。而提升小波作为第二代小波，以其独特的算法结构、快速运算能力和低存储需求等优点受到信息科学领域的广泛关注。本文基于提升小波理论重点研究了图像边缘检测问题，提出了一种新的图像多尺度边缘检测方法，并完成了相应的数值与应用特性研究。该检测方法适用于多种线性或非线性双正交小波，具有运算速度快、检测精度高等特点。 基于多尺度图像边缘检测技术，本文研究了飞机结构颤振的边界预测问题，给出了一种新的稳定性参数估计方法。经数字仿真及气弹模型低速风洞颤振试验数据验证，取得了满意的效果。结果表明，本文方法在预测精度及有效性等方面有明显的优势，可以满足工程应用的实际需要。 基于Matlab仿真平台和LabView虚拟仪器集成环境实现了数字仿真及分析软件的设计与开发。更多还原

【Abstract】 Wavelet transform has been developed quickly in recent decades. Being as the second-generation wavelet with the special algorithm structure, the lifting wavelet is proposed for improving the operation speed of traditional wavelet. In this thesis, a new method of multiscale edge detection of image signal is presented based on lifting wavelet. The related characteristics of the method are studied by numerical simulation. The results show us that the method can be used to many kind of biorthogonal wavelets with the advantages of fast speed and higher precision.According to the features and requirements of flutter test signal, the method for edge detection is used to pickup the major information of signal image, and a new technique is brought out for the flutter boundary prediction. The feasibility of the technique is examined by using compute simulation and flutter testing of aeroelastic models in low-speed wind tunnel.All the calculation software is completed under the Matlab and LabView for windows.更多还原