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face
人脸识别系统，matlab编写的，代码，具体里边有说明(Face Recognition System, matlab written code, specifically described inside)
- 2009-04-25 10:26:53下载
- 积分：1
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calendar
在MATLAB下运行后可以得到一个日历界面，并且有时间显示！(Run in MATLAB can interface with a calendar and time display!)
- 2009-06-25 17:35:39下载
- 积分：1
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double-talk-dectetion
主要根据回声路径的改变来判断是否发生了双端通话，对研究算法的同学具有一定的参考价值。(A double-ended conversation about the detection of foreign literature, mainly based on changes in the echo path to determine whether there has been double-ended conversation, students study algorithm has a certain reference value.)
- 2020-11-20 00:29:37下载
- 积分：1
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mean_nihegyrox
数据拟合程序，可实现数据的三阶自定义函数的最小二乘拟合(Data fitting procedure, enabling third-order data, least squares fitting custom functions)
- 2014-10-10 16:49:19下载
- 积分：1
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LFM_PC
线性调频信号脉压的编码程序，基础程序可以好好学习下，希望有帮助！(LFM pulse compression coding procedures, based on the program can learn under, want to help!)
- 2013-10-13 21:01:25下载
- 积分：1
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Table1
c programe to write the table of given number.
for beginers in c.
- 2014-01-30 22:22:04下载
- 积分：1
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imvectrol9
Inductio Machine vector control model
- 2009-06-01 21:57:58下载
- 积分：1
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Matlab与VC方法
说明： matlab应用越来越广泛。但如何与VC 结合来提高编程效率呢，本文提供的资料可以帮大家。(matlab application is more and more widespread. How but
unifies with VC enhances the programming efficiency, this article
provides the material may help everybody. )
- 2005-09-26 22:34:32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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W09-0006
optimal location of capacitor in radial distribution system
- 2013-12-15 13:19:25下载
- 积分：1
