基于随机森林思想的组合分类器设计——乳腺癌诊断

介绍了MIMO-OFDM系统检测的一种改进的算法--球形解码算法.具体包括:VB球形,CL球形解码算法和改进的算法(KCL和CL-MMSE算法).能仿真出结果.(MIMO-OFDM Systems introduced an improved detection algorithm- sphere decoding algorithm. Specifically include: VB spherical, CL sphere decoding algorithm and improved algorithm (KCL and CL-MMSE algorithm). To simulation result.)

菲涅耳衍射的源码，非常实用的算法。很好用。(Fresnel diffraction of the source)

阶跃型折射率光纤中的模式容量和光功率分布，单模光纤的特征方程及其MATLAB数值求解，多模光纤的特征方程及其MATLAB数值求解(Step-index fiber modes capacity and optical power distribution, single-mode fiber and MATLAB numerical solution of the characteristic equation, multimode fiber and its MATLAB numerical solution of the characteristic equation)

通过NI USRP接收并分离得到3种卫星导航信号——美国的GPS，俄罗斯的GLONASS，中国的北斗。设计一种组合导航系统并应用于手机。 设计方案：通过NI USRP接收并分离得到3种卫星导航信号——美国的GPS，俄罗斯的GLONASS，中国的北斗，用Labview软件进行实时解算并传送给手机。

FDM卫星通信仿真程序及一些辅助函数，共有六条上行链路(FDM satellite communication simulation program and some auxiliary functions, a total of six uplink)

LDPC code construction

上述两个文件分别是遗传算法和包括侧倾的三自由度车辆模型，遗传算法(GA)主要用于辨识三自由度车辆模型参数，主要辨识的参数有前后轴等效侧偏刚度、整车绕X轴和Z轴的转动惯量、质心位置、悬架侧倾刚度和阻尼等关系参数。(The above two files are respectively a genetic algorithm and a three-degree-of-freedom vehicle model including a roll. The genetic algorithm (GA) is mainly used to identify the parameters of a three-degree-of-freedom vehicle model. The main parameters identified are the front and rear axle equivalent cornering stiffness and the entire vehicle. Rotational inertia, centroid position, suspension roll stiffness, and damping relationship parameters around the X and Z axes.)

说明：  使用最近邻聚类在线自适应RBF网络学习算法(the learning of RBF net work using NN)

在Matlab的Simulink仿真环境，使用爬山法模拟MPPT仿真模型。(Matlab Simulink simulation environment, the use of a the climbing method analog MPPT simulation model.)

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 )