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NXT-toolbox

于 2011-04-22 发布文件大小:851KB

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下载积分: 1 下载次数: 24

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乐高公司开发的NXT机器人，通过matlab进行编程的小工具箱(Lego NXT robot, developed by a small toolbox matlab programming)

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polynomial
本代码是用四种不同的算法来实现多项式求和。(This code is used four different algorithms to achieve polynomial sum.)

2010-12-02 16:59:35下载

积分：1
legendre_associated_normalized
evaluates the associated Legendre functions P(N,M)(X), normalized for use in spherical harmonic calculations

2013-02-09 06:13:58下载

积分：1
userpos5stars
卫星导航定位程序，使用用户伪距和卫星位置计算用户位置(User pseudoranges and satellite position calculation user location)

2014-11-20 17:23:11下载

积分：1
kNearestNeighbors
K nearest neighbor search for matlab

2013-04-05 06:39:50下载

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digicomms1
Quantization of signal, mid-tread and mid-rise

2012-01-17 21:26:23下载

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shuzhifenxi
数值分析的实验，拉格朗日、分段线性、三次样条等(Analysis of the experiment, Lagrangian, piecewise linear, cubic spline, etc.)

2010-07-13 20:21:51下载

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NetCreate
现有的几个网络拓扑随机发生器，其实很难生成理想的网络拓扑结构，其主要原因在于很难控制节点的疏密和间距。我们提出来的这个改进算法，在随机抛撒节点的时候使用了K均值聚类，由本算法作为网络拓扑发生器，网络节点分布均匀且疏密得当，边的分布也比较均衡(The few existing random network topology generator, is in fact very difficult to generate the desired network topology, the main reason it is difficult to control the node density and spacing. We put forward the improved algorithm, throw in random nodes when using the K-means clustering, by the algorithm as a network topology generator, network nodes and spacing evenly distributed properly, the edge of a more balanced distribution of)

2008-04-19 09:20:34下载

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zdkzja
国家级精品教材胡寿松自动控制原理教案及MATLAB实验仿真程序.图文丰富!(Hu Shousong national quality teaching materials and lesson plans of Automatic Control Theory Experimental simulation program MATLAB. Graphic rich!)

2010-11-30 15:52:02下载

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StepclassV2
逐步判别分析的主函数用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

2020-09-18 12:27:56下载

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newton
直角坐标下的潮流计算，适合电力系统分析学习(Cartesian coordinates of the flow calculation for power system analysis study)

2010-10-19 09:37:14下载

积分：1

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