DCS_SOMP

该演示中包含的代码演示如何氡相似的功能，可以用来提高（以及部分）在Connectome电磁图像单元格边界。 请举出下列文件如果您发现此代码有用： Ritwik库马尔，阿梅里奥五雷纳和Hanspeter Pfister说“氡样的特点及其应用Connectomics”，接受，IEEE计算机学会研讨会在生物医学图像分析（MMBIA）2010年数学方法 http://seas.harvard.edu/〜 rkkumar radonLikeFeaturesDemo.m：演示边缘增强用氡相似的功能， getEdgeFeatures.m：助手为高斯函数的二阶导数滤波器 makeBarFilters.m：助手为高斯函数的二阶导数滤波器 sample.png：示例图像在此演示使用(The demo included in the code demonstrates how Radon-Like Features can be used to enhance (and segment) cell boundaries in Connectome EM images. Please cite the following paper if you find this code useful: Ritwik Kumar, Amelio V. Reina & Hanspeter Pfister, “Radon-Like Features and their Application to Connectomics”, accepted, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2010 http://seas.harvard.edu/~rkkumar radonLikeFeaturesDemo.m : Demonstrates edge enhancement using Radon-Like Features getEdgeFeatures.m : Helper function for Gaussian Second Derivative Filters makeBarFilters.m : Helper function for Gaussian Second Derivative Filters sample.png : Sample image for use in this demo )

改进的Cholesky分解的过程演示，本人原创，测试无误，内含详细注释。 (Cholesky decomposition process improvement presentation, my original test and correct, containing detailed notes.)

讲解调频连续波雷达波形(SFCW)设计的仿真程序(a matlab source code for SFCW waveform)

果蝇优化算法，主要用于对支持向量机等算法参数的优化(FOA FOASVR_Training)

Using XFOIL based on Lifting Surface Theory to Achieve 3-D Aerodynamics

LDA，即线性判别分析。本程序介绍了经典的LDA算法，希望能对各位读者有所帮助。(LDA, namely linear discriminant analysis. This program introduces the classical LDA algorithm, hoping to help all of you readers.)

说明：  三歩搜索法，是运动估计中块匹配方法的一种简便搜索方式 (Three-step search method, block matching motion estimation is a convenient way to search method)

这个小程序可以实现窗口的创建以及同步接收和发送消息的功能。(WHEN YOU SEND MESSAGE TO OTHERS ,THEY WILL CAN RECEIVE IT TIGHT NOW.)

基本操作，主要是matlab的一些基本操作，适合初学者学习(Basic operations, mainly some of the basic operations of matlab for beginners to learn)

提供了子波域矩阵加权，标量加权，修正加权的方法对比，包括小波分解，kalman滤波，信息融合等内容，该程序论文已被IEEE期刊收录(Wavelet domain provides a matrix-weighted, weighted by scalars amended weighted methods, including wavelet decomposition, kalman filtering, information fusion, etc., the program has been IEEE Journal Papers Indexed)