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matlab
龙格4阶matlab仿真 进行数据仿真运算看可以进行调用和修改(runge MATLAB m-file)
- 2009-12-07 22:20:38下载
- 积分：1
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mseries
产生任意长度的M序列，并计算该M序列的自相关函数和功率谱密度函数。用于系统辨识(Generated sequence of random length M, and calculate the M series autocorrelation and power spectral density function. For system identification)
- 2010-05-12 01:53:38下载
- 积分：1
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kalman
标准的卡曼滤波器实现，例子在文档里面有说明。(standard kalman fitler.hope to help you)
- 2013-03-13 09:53:26下载
- 积分：1
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ARMA_LAST
ARMA源程序，需要spa_corc.m文件支持。(ARMA source, need spa_corc.m file support.)
- 2012-09-11 21:51:49下载
- 积分：1
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人工势场
说明： 路径规划算法，传统人工势场法，可实现全局路径避障。(The path planning algorithm, the traditional artificial potential field method, can realize the global path obstacle avoidance.)
- 2021-04-02 10:42:37下载
- 积分：1
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UKFleida
kalman滤波程序 关于信息融合方面的程序 (kalman programme about information fusion s programme)
- 2009-05-01 11:06:50下载
- 积分：1
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fjyxxs
说明： 这是2自由度并联机构的位置反解和一阶影响系数求输入速度的代码(This is a 2-DOF parallel mechanism of the inverse position and the first coefficient of seeking input speed of the code)
- 2011-03-20 12:37:02下载
- 积分：1
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work
关于三相SVPWM仿真的模型，我做电力电子仿真作业的一道题，花了很多时间下载和阅读文献，最后总算成功了，只是仿的结果有点慢，一直找不到为什么。
注意：此模型仿真时需要svpwm.m这个文件，并且matlab软件版本为Matlab7.1。(About three-phase SVPWM simulation model, I do the job of power electronic simulation of a question, spend a lot of time to download and read the literature, but finally succeeded, but the result of imitation of a little slow, could not find why. Note: This model simulation requires svpwm.m this file and matlab software version Matlab7.1.)
- 2011-04-25 16:53:53下载
- 积分：1
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SVR-NONLINEAR
基于SVR的非线性系统的辨识和校验，辨识信号为幅值为2的随机信号(Nonlinear systems based on SVR identification and validation, identification signal is a random signal amplitude of 2)
- 2013-09-15 21:35:59下载
- 积分：1
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Image-Fusion-using-Cross-Bilateral-Filtering-base
The Cross Bilateral filter can enhance the PSNR of multi focus images that is in image fuison. Bilateral filtering is a local, nonlinear and non- iterative technique which combines a classical low-pass filter with an edge stopping function that attenuates the filter kernel when the intensity difference between pixels is large. As both gray level similarities and geometric closeness of the neighboring pixels are considered, the weights of the filter depend not only on Mahalanobis distance but also on the distance in gray/color space. The advantage of the filter is that it smoothes the image while preserving edges using neighboring pixels. CBF considers both gray-level similarities and geometric closeness of neighboring pixels in image one to shape the filter kernel and filters the image two.
- 2015-03-10 16:53:31下载
- 积分：1
