ostu

飞机的设计和制造一直是与性能优异的材料 联系在一起。20世纪60年代中期以碳纤维为增强体 的复合材料问世，70年代初开始应用于军用飞机 结构，80年代开始应用于民用飞机结构。复合材料 具有比强度高和比刚度高的独特优点，飞机结构 采用复合材料，其重量可相应减少20%~30%[1]。此 外，复合材料还具有可设计性强、疲劳性能好、耐 腐蚀、易于大面积整体成型、维护性好等优点。目 前，复合材料已经成为重要的飞机结构材料。(he design and manufacture of aircraft has been a material with excellent performance Relate. In the mid 1960s, carbon fibers were used as reinforcements The composite material came out and was used in military aircraft in the early 70s The structure began to be applied to civil aircraft structures in 80s. Compound material The aircraft structure has the unique advantages of high specific strength and high specific stiffness The weight of the composites can be reduced by 20%~30%[1] accordingly. this Besides, the composite material has the advantages of good design, good fatigue performance and good resistance to fatigue Corrosion, easy to form a large area, good maintainability and so on. order Before, composite materials have become important aircraft structural materials.)

使用K均值做聚类分析来进行图像分割,把原始图像转换到HSV空间做聚类分析(use k-means clustering to segment the image)

对图像进行分块处理，可以设置分块比例，该程序设置的是8*8的比例，将图像分成64块(The image processing block, you can set the ratio of the block, the program is set proportion of 8* 8, the image is divided into 64)

数字图像压缩方向一些经典压缩方法的matlab程序实现(Digital image compression direction, some classic compression methods, matlab program implementation)

snake模型寻找图像边界，以及改进的GVF算法(snake model for image border, and to improve the algorithm GVF)

基于matlab的时频率分析工具箱，包括了小波变换，WVD，SPWVD等等好多的时频分析方法(Matlab-based time-frequency analysis toolbox, including a wavelet transform, WVD, SPWVD so many time-frequency analysis method)

DWT域的水印提取，matlab 以及信噪比分析(DWT watermark extraction, and signal-to-noise ratio analysis Matlab)

维的简单LDA和2维LDA人脸识别的matlab代码，注释详细，可以直接运行，非常好用，还有1维LDA算法讲解，很适合入门的同学！( U7EF4 u7684 u7352 u5355 u548C2 u7A4 u7A1 UFF0C u9H09 u5976 u5E8 u5L0 u5B0 )

这是一篇毕业论文基于小波图像去噪的方法研究(This is a thesis research methods based on wavelet image denoising)

自适应滤波器LMS算法包括SIMULINK模型及S函数的编写(LMS adaptive filter algorithm, including the preparation of the SIMULINK model and S function)