-
power_harmonicfilter
it is used to eliminate the harmonic distortion due to non linear load.
By
Saravanan.J
- 2009-12-28 17:48:24下载
- 积分:1
-
matlab-simulation-of-m-sequence
对m序列的原理、结构、性质进行了分析,在Matlab中采用编程和Simulink动态仿真功能2
种方式实现了m序列.仿真实验表明,这2种方法简单,易于实现,可移植性较强,具有可行性和
设计的合理性.
(The principle of the m sequence, structure and properties were analyzed in Matlab, Simulink using dynamic programming and simulation capabilities are 2 ways to achieve the m sequence. Simulation results show that these 2 simple and easy to implement, portability strong the feasibility and rationality of the design.)
- 2011-05-11 08:54:54下载
- 积分:1
-
bicycleStability
三自由度自行车模型,非线性轮胎模型,考虑纵向加速度(Three DOF bicycle model, nonlinear tire model, considering the longitudinal acceleration)
- 2013-09-12 04:11:10下载
- 积分:1
-
EA
说明: ebook演化计算相关的书籍内付有C程序(Evolutionary Computation ebook with pay-related books have C program)
- 2007-07-25 00:07:21下载
- 积分:1
-
transform
rgb to cieluv transformation
- 2010-11-28 00:23:38下载
- 积分:1
-
Adaptive-Median-Filtering
adaptive median fillter
- 2011-06-27 12:40:06下载
- 积分:1
-
fanfeng_V0.7
小波包分析提取振动信号中的特征频率,构成不同频率的调制信号,matlab编写的元胞自动机。( Wavelet packet analysis to extract vibration signal characteristic frequency, Constituting the modulated signals of different frequencies, matlab prepared cellular automata.)
- 2016-12-12 11:28:32下载
- 积分:1
-
TIac
TI公司的交流电机控制仿真的Matlab程序,很有用的啊,大家快下吧(AC motor control simulation of the Matlab program, very useful ah, everyone under the bar fast)
- 2009-11-10 13:05:35下载
- 积分:1
-
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
-
wrl2mat_m
converting .wrl(3d image) t o.jpeg file
- 2021-03-05 15:39:32下载
- 积分:1