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classic-gui-example
一些比较经典的Matlab gui界面的例子,对指导GUI编程很有意义(Some of the more classic examples of Matlab gui interface guiding meaningful GUI Programming)
- 2007-08-16 14:23:24下载
- 积分：1
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binhiding
运用分块算法将秘密图像嵌入的一幅大图中，达到信息隐藏的效果(Block algorithm using a secret image is embedded in a large figure, to the effect of information hiding)
- 2010-12-23 10:23:44下载
- 积分：1
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restclientdataset
REST Communicate for windows
- 2014-10-11 00:04:43下载
- 积分：1
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Matlab5.3
matlab教程（下），华中科技大学的老师授课资料(matlab tutorial (below), Huazhong University of Science and Technology teachers to teach information)
- 2008-03-25 18:57:28下载
- 积分：1
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rms-model
响应面法matlaB程序，大家可以下载。(RMS code)
- 2013-11-14 10:55:13下载
- 积分：1
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Chapter_5_Characterization_of_Space-Time_Processes
Optimum array processing 最优阵列处理技术 第五章 空时过程的特性的MATLAB程序
DOA MUSIC ESPRIT(Optimum array processing
DOA MUSIC ESPRIT)
- 2010-07-04 09:24:46下载
- 积分：1
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yibudianji-tiaosu
三相异步电机调速的matlab模型 适合下载学习看看(Three-phase induction motor matlab model for download learning to see)
- 2014-10-31 21:56:21下载
- 积分：1
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Proof
Channel assignment in mixed cell - wlan and umts.
- 2015-02-06 12:57:44下载
- 积分：1
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rbf
建立一个径向基神经网络，对非线性函数y=sqrt(x)进行逼近，并作出网络的逼近误差(The establishment of a radial basis function neural network, the nonlinear function y = sqrt (x) to approximate, and make the network approximation error)
- 2014-05-19 16:47:11下载
- 积分：1
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2dgaussian
汽车高斯曲面拟合
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2程序，以适应到表面二维高斯：
子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的
这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。
autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。
autoGaussianSurfGS（十一，彝，紫）的估计，通过指定数据的贝叶斯生成模型，然后采取通过从模型吉布斯抽样样本后ofthis模型参数。这种(Auto Gaussian Surface fit
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2 routines to fit a 2D Gaussian to a surface:
zi = a*exp(-((xi-x0).^2/2/sigmax^2+ (yi-y0).^2/2/sigmay^2))+ b
The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters.
autoGaussianSurfML(xi,yi,zi) fits the model parameters through maximum likelihood(least-squares). It first evaluates the quality of the model at many possible values of the parameters then chooses the best set and refines it with lsqcurvefit.
autoGaussianSurfGS(xi,yi,zi) estimates the model parameters by specifying a Bayesian generative model for the data, then taking samples from the posterior ofthis model through Gibbs sampling. This method is insensitive to local minimain posterior and gives meaningful error bars (Bayesian confidence intervals))
- 2011-05-23 10:36:52下载
- 积分：1
