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power_pwm
由PWM控制的异步发电机，Matlab/Simulink建模仿真(By PWM-controlled induction generator, Matlab/Simulink modeling and simulation)
- 2009-03-17 20:47:57下载
- 积分：1
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PV
说明： 不同温度及光照强度下的光伏电池外特性，V-I曲线P-V曲线(External characteristics of photovoltaic cells under different temperature and light intensity, the VI curve of PV curve)
- 2012-05-06 17:49:08下载
- 积分：1
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Solve-Equations
matlab经典算法方程中关于解方程问题的具体内容 可以给需要的朋友们一些启示(classical algorithm matlab problem solving equations equations on the specific content of a friend in need who can give some inspiration)
- 2013-11-13 11:16:25下载
- 积分：1
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Chaotic-Systems-Toolbox
如题，混沌系统相关matlab程序代码，应该比较全了(Such as title, chaotic system matlab code, all)
- 2013-02-28 10:32:20下载
- 积分：1
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White_Gaussian_noise
Matlab中由两个均匀分布随机变量产生高斯白噪声，以及自相关函数和功率谱图(Matlab by two uniformly distributed random variables have a Gaussian white noise, and the autocorrelation function and power spectrum)
- 2012-03-31 20:37:49下载
- 积分：1
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decision-tree
程序实现了生成决策树并使用决策树对离散特征向量进行分类。在判断是否要继续生成叶节点时采用entropy来作为impurity的measurement.(Program and use the decision tree decision tree to generate discrete feature vectors for classification. In determining whether to continue generating leaf nodes using entropy as the impurity of the measurement.)
- 2013-08-04 05:49:10下载
- 积分：1
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Minimum-Bayes-classifier-error-rate
这是模式识别中最小错误率Bayes分类器设计方案。
自行完善了在不同先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。
全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。
调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。
调用最小错误率贝叶斯分类器决策子函数时，根据先验概率数组，通过比较概率大小判断一个体重身高二维向量代表的人是男是女。
主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小错误率贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到不同先验概率条件下错误率的统计。
(This is the minimum error rate pattern recognition Bayes classifier design.
Self- improvement prior probability in different conditions , male , female and total error rate error rate statistics , into which each array .
All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions .
Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector third step is to application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function .
Call the minimum error rate decision Functions Bayesian)
- 2012-02-02 20:33:06下载
- 积分：1
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motion_restoration
motion blur restoration, in this .m file motion blur restoration with CLS and wiener algorithms have been done
- 2012-10-03 16:51:59下载
- 积分：1
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HW_5
Generation of Binomial random variables from uniform random variable
- 2010-06-11 21:21:49下载
- 积分：1
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aa
说明： 一份经过精心设计的海报模板，大家可以相互交流一下的呢(A poster template is designed, we can look at the then exchange)
- 2010-04-10 00:27:13下载
- 积分：1
