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ImageProcessingMatlab
This ia about matlab image processing
- 2009-12-08 23:51:52下载
- 积分：1
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blind2
IT IS BLIND MIMO SYSTEM.!!!!!!!!UPGRADE
- 2012-04-30 15:50:06下载
- 积分：1
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GrafLab-(MATLAB)
a program compiled by matlab to computer more than 30 of gravity parameter from a gravity modle
- 2013-10-14 21:30:02下载
- 积分：1
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EV充电功率
说明： 计算电动汽车充电功率和符合预测，分时段计算，精度高(Calculation of electric vehicle charging power and coincidence prediction, time-sharing calculation, high precision)
- 2020-05-27 21:43:48下载
- 积分：1
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ruhul_code
This folder includes several files for simulating a multi-machine power system with the power system stabilizer tuned with the help of Invasive weed optimization algorithm.
- 2012-03-26 17:42:20下载
- 积分：1
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MyHogMatlabToolBox
Histogram of Oriented Gradient toolbox, can be used for object detection and object recognition. This code is not for commercial purpose.
- 2013-03-20 01:10:59下载
- 积分：1
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taeniwci
微分方程组数值解方法，IDW距离反比加权方法，数据模型归一化，模态振动，isodata 迭代自组织的数据分析，研究生时的现代信号处理的作业，是路径规划的实用方法。(Numerical solution of differential equations method, IDW inverse distance weighting method, Normalized data model, modal vibration, Isodata iterative self-organizing data analysis, Modern signal processing jobs when the graduate, Is a practical method of path planning.)
- 2016-03-12 00:47:10下载
- 积分：1
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Matlabstduy
Matlab高级学习讲义，共有5章内容，主要是在控制方面的源代码！(Matlab Advanced Learning overhead, a total of five chapters, mainly in the control of the source code!)
- 2007-07-02 13:34:33下载
- 积分：1
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bootgmregress
自举是一种由重采样估计，独立和（蒙特卡洛重采样）等概率设置一个单一的数据统计变化的一个途径。允许的措施估计那里的潜在分布是未知的或者样本量很小。他们的结果与这些分析方法的统计特性相一致。
在这里，我们使用非参数逼近。非参数引导更简单。它不使用该模型的结构，建造人工数据。矢量[易西]是重采样，而不是直接与replecement。这些参数是从这些对构建。
二，回归模型时，应使用在回归方程中的两个变量是随机的，会有错误的，即不是由研究者控制。模式，我用普通最小二乘回归低估了变量之间的错误时，他们都含有线性关系的斜率。据索卡尔和罗尔夫（1995），模型二回归的主题是一对哪些研究和争论仍在继续，最终建议是很难做出。
BOOTGMREGRESS模型II是一个引导程序。这需要s引导和规范样品前坡计算变量。这两个变量的每个转化为具有零均值和标准差的一个。由此产生的斜率是线性回归系数的Y在X里克创造了这个词（1973）几何平均数并给出了一个模型II回归广泛审查。它也被称为引导标准的主要轴线(The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their results are consistent with the statistical properties of those analytical methods.
Here, we use the Non-parametric Bootstrap. Non-parametric bootstrap is simpler. It does not use the structure of the model to construct artificial data. The vector [yi, xi] is instead directly resampled with replecement. The parameters are constructed from these pairs.
Model II regression should be used when the two variables in the regression equation are random and subject to error, i.e. not controlled by the researcher. Model I regression using ordinary least squares underestimates the slope of the linear relationship between the variables when they both contain error. According to Sokal and Rohlf (1995), t)
- 2011-05-21 13:19:38下载
- 积分：1
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DS_CDMA
自己编写的MATLAB程序，原创，希望有用(I have written MATLAB program, originality, I hope useful)
- 2013-10-24 19:17:51下载
- 积分：1
