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Newton-raphsom
这个m文件实现了Newton raphsom算法,从而解决分布式功率流问题。(M realized this document Newton raphsom algorithm, so as to solve the problem of distributed power flow.)
- 2009-01-26 10:07:07下载
- 积分:1
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tunning-PID-by-PSO
this code of Particle Swarm Optimization algorithm
- 2013-08-15 00:07:20下载
- 积分:1
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CBCT_FDK_MLEM_Nov_2014
基于FDK的锥束CBCT图像的重建的源代码(FDK reconstruction based on cone-beam CBCT images of source code)
- 2014-12-14 15:22:58下载
- 积分:1
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Generating-of-the-basic-signal
在Matlab中设计GUI,添加按钮,将源代码作为回调函数,实现信号与系统中基本信号的产生的功能,并保存实验结果。(The design of GUI, in Matlab the Add button, the source code as a callback function, the realization of the basic signal of the signal and system generating function, and save the experimental results.)
- 2015-01-10 10:43:37下载
- 积分:1
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solar-3mw
SIMULINK MODEL OF A 3 Mw solar module ..it shows the variation of power vs voltage
- 2015-01-19 14:31:51下载
- 积分:1
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EM-algorithm--based-on-density-estimation
EM algorithm using matlab
- 2012-03-21 21:05:22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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ModulSimu
自己编的5种调制信号仿真:CPFSK,FM,AM,QPSK,SSB,希望对大家有用(Their series of 5 modulation signal simulation: CPFSK, FM, AM, QPSK, SSB, we hope to be useful)
- 2010-11-22 18:34:56下载
- 积分:1
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synchronization_base_event
利用platformbuild编译调试,介绍的是用事件消息处理同步事件的程序(Use platformbuild compiler debugging, the introduction is a synchronous event message handling procedures for incident)
- 2008-07-31 13:10:53下载
- 积分:1
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comp
this code is about ordfs and write whit matlab.
- 2012-06-18 09:20:42下载
- 积分:1