Home_Networking_Basis

矩阵功能的演示 首先显示矩阵 所有数据按照MATLAB中的矩阵操作实例实现(Matrix function shows the first display all the data matrix in the matrix operation in accordance with examples of MATLAB Implementation)

convolutional coding matlab仿真代码，仅供参考(convolutional coding matlab simulation code, for reference only)

matlab数值分析与应用非线性方程的求根(nonlinear equation solution )

MIMO 检测仿真 ML MMSE ZF 还有OSIC的(MIMO detector simulation ML MMSE ZF OSIC' s there)

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 )

计算太阳能集热器的出口温度、有效能收益及太阳能集热器瞬时效率(simulation the solarcollector s outlet temperature、effective power of collector and the instantaneous efficiency of the collector)

包括5个程序,两个是logistic映射的相图和分岔图,三个是henon映射的相图,分岔图和比较图.(Includes five programs, two of which are in the phase diagram and logistic map bifurcation diagram, three phase diagram is mapped henon, bifurcation diagram and comparison chart.)

Particle filter source code in matlab

说明：  曲线拟合，在众多的样本点中进行拟合，找出满足样本点分布的多项式(Curve fitting, in a large number of sample points were fitted to identify the distribution of sample points satisfy the polynomial)

image histogram image enhancement