Matlab-GUI

this is a stereo vision code.

说明：  2-D FFT

关于EMD HHT LMD EEMD 的论文，讲解详细(a paper contains EMD HHT LMD EEMD)

程序实现用牛顿－拉夫逊迭代法进行潮流计算。不仅有潮流计算，还有数据处理的程序(Procedure using the Newton- Raphson iterative method for flow calculation. Not only power flow calculation, as well as data-processing procedures)

说明：  波束形成自适应算法——样本相关矩阵直接求逆算法(SMI)(Beamforming adaptive algorithm- the sample correlation matrix inversion algorithm directly (SMI))

说明：  自己翻译的一篇最新外文文献《使用无需重建最佳探测器的宽带压缩传感认知无线电》(Own translation of a the latest foreign literature use without having to rebuild the best detectors broadband compressed sensing cognitive radio &quot )

it is scrambler using matlab

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 )

Leach-c , Sensor network routing protocol.

一维Logistic映射的OGY控制（稳定至不动点）(One-dimensional Logistic map of OGY control (stability to the fixed point))