plotResults

有关matlab较为基础的入门书籍。很适合初学者学习借鉴和使用。(For more matlab basic introductory books. It is suitable for beginners to learn and use.)

MATLAB高斯噪声生成函数（用于通信）(MATLAB function to generate Gaussian noise (for communication))

设计了异步电动机在MATLAB中坐标变换的方式。(Design of the asynchronous motor coordinate transformation in MATLAB.)

LibSVM代码说明，有助于对算法实现的理解。(LibSVM Guide)

随机权重法改进粒子群优化算法， 更换目标函数后使用(Random weight method to improve particle swarm optimization algorithm, the objective function after the use of replacement)

雷达成像RD/CS/RMA三个算法matlab实现(The radar imaging RD/CS/RMA three algorithms matlab to achieve)

简介：IFP_FCM,改进型FCM(模糊C均值)聚类算法,由Frank Hoppner与Frank Klawonn于2003年提出,解决了FCM算法对初始值设定较为敏感、训练速度慢、在迭代时容易陷入局部极小的问题。并附带了Box和Jenkins煤气炉数据模型辨识实例。 文件清单： IFP_FCM算法原始论文： Improved fuzzy partitions for fuzzy regression models.pdf 程序清单： IFP_FCM.m - IFP_FCM算法主函数 initifp_fcm.m - initifp_fcm子函数 stepifp_fcm.m - stepifp_fcm子函数 distifp_fcm.m - distifp_fcm子函数 IFP_FCM_T_S_box_test.m - IFP_FCM测试实例：Box和Jenkins煤气炉数据T-S模糊模型辨识 数据文件： box_data.mat - Box和Jenkins煤气炉数据(IFP_FCM, modified FCM (Fuzzy C-Means) clustering algorithm, in 2003, proposed by Frank Hoppner and Frank Klawonn, FCM algorithm to solve the initial value setting is more sensitive, slow training, while iterating easy to fall into local minimum problem. And comes with Box and Jenkins gas furnace model identification data instance.)

BB method of Hestogram equalization BBHE

cpml thechnique for finite difference time domain

利用matlab仿真绘制不同的广义路径损耗模型(Simulation using matlab draw different generalized path loss model)