xlswrite

已知任意两点的经度和纬度求两点间的直线距离以及求两个圆交点坐标(Any two points of known latitude and longitude find straight-line distance between two points)

mfcc用matlab编程实现，12阶参数(mfcc, used in matlab)

说明：  using comsol livelink with matlab 计算一维声子晶体中的特征值特征向量(using comsol livelink with matlab calculating the eigenvalues and eigenvectors in 1d phononic strip)

frequency shift keying simulation in matlab

分数阶傅里叶变换计算方面,可以提取一幅图中想要的目标，小波包分析提取振动信号中的特征频率。( Fractional Fourier transform computing, Target can be extracted in a picture you want, Wavelet packet analysis to extract vibration signal characteristic frequency.)

说明：  脉冲响应不变法实现音频滤波功能，并且含有GUI界面设计，数字信号课程设计专用(Realization of audio filtering function with pulse response invariable method.)

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 )

一个matlab程序关于在2D上的任意三角地区的稳定不可压缩的Stokes方程的有限元方法 (a program which applies the finite element method for the steady incompressible Stokes equations on an arbitrary triangulated region in 2D )

particle swarm optimization

minimize the delay of a network using graph theory in matlab