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Matlabchengux
说明： matla的100个实用程序，是你学习常用函数必备的资料(matla 100 utility, is that you learn the information necessary common functions)
- 2010-04-28 09:11:20下载
- 积分：1
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daima
课设作业，包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角(Attitude control of spacecraft Contains the pitch angle, roll angle，Tilt angle, sideslip angle)
- 2012-04-02 13:06:31下载
- 积分：1
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dqtransform
对频率、幅值可变的正弦信号进行dq变换的Matlab仿真(Variable-amplitude variable- frequency
sinusoidal signals dq transformation)
- 2010-05-22 13:25:33下载
- 积分：1
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fcxl
网上下载的一个分行的好的程序，可以让大家借鉴下(Download a branch of a good program, so that everyone can learn from the next)
- 2011-10-04 09:56:21下载
- 积分：1
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OMP
OMP算法，用于图像的重构过程中，比较经典，尤其是数字信号处理中(OMP algorithm for image reconstruction process, the more classic, especially in digital signal processing)
- 2011-11-27 16:23:22下载
- 积分：1
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[MATLAB]-Bilateral-Filter
MATLAB / IMAGE PROCESSING / BILATERAL FILTER
- 2011-06-21 00:15:07下载
- 积分：1
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SystemSimulation
Matlab Program that plots the rootlocus of given transfer functions
- 2013-04-30 10:40:47下载
- 积分：1
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POSRBFNN
mtlab粒子群优化模糊RBF神经网络整定PID控制(mtlab Particle Swarm Optimization Fuzzy RBF neural network PID control tuning)
- 2021-04-28 11:38:44下载
- 积分：1
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neural-network-_matlab
neural network _matlab(neural network)
- 2012-09-07 10:31:02下载
- 积分：1
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matlab
聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)
- 2014-02-18 09:59:02下载
- 积分：1
