Matlab，music

ansys中建立的塔线模型，方便后续计算(Tower-line model established in ANSYS is convenient for subsequent calculation)

说明：  平滑滤波，空域滤波与变换域滤波比较，从中说明其中原理(The principle of smoothing filtering is explained by comparing spatial filtering with transform domain filtering)

说明：  以python语言为平台，对机载激光雷达原始数据Las格式和txt格式进行读取，并根据信息熵确定维度特征计算的最佳邻域半径，最后计算得到最佳邻域半径和最佳维度特征值(Based on Python language, the Las format and TXT format of airborne lidar raw data are read, and the optimal neighborhood radius is determined according to the information entropy. Finally, the optimal neighborhood radius and the optimal dimension eigenvalue are calculated.)

本例功能是显示一个由反走样处理的线段组成的八面体(functions of the cases showed an anti-aliasing by the Line of octahedral)

说明：  全景图像拼接的源代码，可将多幅照片拼接为周视全景图像，很不错。(Panoramic image mosaic of the source code, multiple photos can be spliced for the week as the panoramic image, very good.)

说明：  该算法实现了数字水印的嵌入与提取，然后对图像进行均衡化处理，分析均衡化处理后的图像对数字水印嵌入和提取效果的影响。(The algorithm realizes the embedding and extraction of digital watermark, and then carries on the equalization processing to the image, analyzes the influence of the equalization processed image on the embedding and extraction effect of digital watermark.)

SVDD classifier 即支持向量数据描述分类器，能将数据分为两类。本文件也提供了训练数据和测试数据，方便进行测试。(Support vector data description classifier. Data can be divided into two categories .This document also provides training data and test data to make it easy to test the program.)

人脸检测程序。在菜单上有许多功能选项，可实现多角度，多目的检测。(face detection procedures. In the menu options are many functions that can be achieved from different angles, multi-purpose testing.)

用小波变换多分辨对脑电慢波P300信号的特征提取(wavelet EEG P300 feature execute)

说明：  a）针对合成纹理图像（共有4 个合成纹理图像，见文件夹： Texture_mosaic_data）中每一个像素提取纹理特征向量； b）利用聚类技术（推荐用k‐均值聚类，可以从网上查找原码）对特征向 量空间中的点进行聚类，类别数可根据图像中的实际纹理类数确定。最后把类 属标签映射成图像形式显示（如下图，其中b、d、f、h 为相应的基准分割图像）。(A) for synthetic texture images (there are 4 synthetic texture images in total, see the folder: Texture feature vector is extracted from every pixel in texture; B) use clustering technology (K-means clustering is recommended, and the original code can be found on the Internet) to search the feature direction The number of categories can be determined according to the actual number of texture classes in the image. Last class The generic label is mapped to an image (as shown in the figure below, where B, D, F, h are the corresponding reference segmentation images).)