登录
首页 » matlab » 数学建模算法与应用

数学建模算法与应用

于 2020-11-22 发布 文件大小:5392KB
0 186
下载积分: 1 下载次数: 7

代码说明:

  《matlab算法与实例》,提供源代码和算法实例(Matlab algorithm and example)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • Basic_EM_Code
    SampleGenerate.m 生成EM_data数据 GMM_EM_Main.m 执行EM temp2是测试如何求高斯密度的函数(SampleGenerate.m GMM_EM_Main.m temp2)
    2009-09-19 00:36:44下载
    积分:1
  • dm
    说明:  low_pass_filter_design_adaptive_modulation and demodulation
    2010-11-21 19:40:34下载
    积分:1
  • LevelSet_ChunmingLi_v1
    去初始化的水平集函数动态移动目标检测算法(level set function)
    2011-06-07 14:31:33下载
    积分:1
  • aliiiii
    providing YBus for load flow
    2011-08-09 02:04:29下载
    积分:1
  • bpsk_ber
    binary phase shift keying SNR Vs BER
    2014-08-22 14:05:01下载
    积分:1
  • colorext
    Counts the red objects and return the number serially
    2015-03-05 05:40:35下载
    积分:1
  • MI
    说明:  互相关法的实现。一般多用于图像配准之中,能够求两幅具有角度偏移图像的互相关值大小。互相关值能够应用于众多方面。(Implementation of Cross Correlation Method. Generally used for image registration, can be obtained with two angle offset image cross-correlation value size. The cross-correlation value can be applied to a number of aspects.)
    2017-01-20 14:49:46下载
    积分:1
  • Simul
    matlab simulation for synchronous machine direct and vectorial modeling
    2015-02-01 09:25:27下载
    积分:1
  • sensorgroup
    This submission enables MATLAB to access onboard Sensors on iPhone and iPad. With this submission, you can access a mobile device’s accelerometer, magnetometer, location, orientation and compass information directly from MATLAB running on your computer. You can access current and logged sensor data, and you can use MATLAB to visualize and analyze the mobile sensor data or make decisions based on the acquired data.
    2013-08-01 21:43:15下载
    积分:1
  • estimation-extended-Kalman-filter
    针对感应电机扩展卡尔曼滤波器转速估计中难以取得卡尔曼滤波器系统噪声矩阵和测量噪声矩阵最优值的问题,提出了一种基于改进粒子群算法优化的扩展卡尔曼滤波器转速估计方法。算法通过融合遗传算法和粒子群算法的优点,采用可调整的算法模型对粒子群算法进行改进,将改进的粒子群算法对扩展卡尔曼滤波器中的系统噪声矩阵和测量噪声矩阵进行优化处理,将优化后的卡尔曼滤波器应用于感应电机转速估计。( Extended Kalman Filter for induction motor speed estimation problem is difficult to obtain a Kalman filter system noise matrix and the measurement noise matrix optimal value proposed speed estimation method based on improved particle swarm optimization of the extended Kalman filter. By virtue of the genetic algorithm and particle swarm optimization algorithm fusion algorithm using the adjustable model PSO improvements that will improve the PSO extended Kalman filter system noise matrix and the measurement noise matrix optimization process, the optimized Kalman filter is applied to the induction motor speed estimate.)
    2016-01-27 10:12:55下载
    积分:1
  • 696516资源总数
  • 106454会员总数
  • 1今日下载