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MATLAB2010JC
MATLAB2010的教程,电子书籍,很详细(MATLAB2010 tutorials, e-books, very detailed)
- 2013-08-27 18:35:28下载
- 积分:1
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Matlab
Matlab 图形图像处理函数详细列表,包括各种MATLAB 图像处理命令。(Matlab graphic image processing function, a detailed list, including all MATLAB image processing commands.)
- 2010-01-20 10:21:22下载
- 积分:1
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primary_math_modeling
数学建模的基本概念和实例(刹车距离、蛛网模型、生产计划、人口预测)(Mathematical modeling of the basic concepts and examples (braking distance, cobweb model, production planning, population projections))
- 2010-12-22 15:01:33下载
- 积分:1
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SVM_lzb1p0
说明: 四种支持向量机用于函数拟合与模式识别的MATLAB示例程序.(Four support vector machines for pattern recognition function fitting with MATLAB examples of procedures.)
- 2009-07-27 10:30:11下载
- 积分:1
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shuzixinhaochuli
电子工业出版社《数字信号处理——基于计算机的方法》第三版的matlab代码,(Publishing House of Electronics Industry "digital signal processing- computer-based method for the third edition of the matlab code)
- 2012-10-29 16:40:34下载
- 积分:1
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Islab_WaypointNav
This is a matlab clas file for non-holonomic ground robot.
Inputs are:
1. Set of way-points [x y]
2. Controller gain
3. Linear velocity
Out put
1. control commands [linear and angular velocities]
- 2014-01-18 07:16:56下载
- 积分:1
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On-Cluster-Validity-for-the-Fuzzy-c-Means
On Cluster Validity for the Fuzzy c-Means
- 2014-02-20 10:43:43下载
- 积分:1
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25811208INV_15MW_grid
说明: 逆变器MMC,运用V/F控制,双闭环,没有CCSC,真实好用(Inverter MMC, V / F control, double closed loop, no CCSC, real and easy to use)
- 2021-01-31 16:58:33下载
- 积分:1
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dekinpo
Digital filter simulation in Matlab.
- 2009-11-28 05:34:09下载
- 积分:1
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k-means
说明: k均值聚类算法(k-means clustering algorithm)是一种迭代求解的聚类分析算法,其步骤是,预将数据分为K组,则随机选取K个对象作为初始的聚类中心,然后计算每个对象与各个种子聚类中心之间的距离,把每个对象分配给距离它最近的聚类中心。(The k-means clustering algorithm is an iteratively solved clustering algorithm in which the data is pre-divided into K groups, the K objects are randomly selected as the initial clustering center, and then the distance between each object and the seed clustering center is calculated, and each object is assigned to the clustering center closest to it.)
- 2020-11-08 10:47:08下载
- 积分:1