electrical-machinery-simulation

elshebri source code5

用Levinson算法，Burg算法，ARMA模型法，MUSIC算法来估算功率谱。并进行比较。(With Levinson algorithm, Burg algorithm, ARMA model method, MUSIC algorithm to estimate the power spectrum. And compared.)

matlab hann hamming window FFT DFT DTFT

用于特征值进行分解的，希望对大家有用！ 互相交流，因初学，不到之处见谅！(For eigenvalue decomposition, and we hope to be useful! Exchange, as beginners, no place forgive me!)

小波包分析提取振动信号中的特征频率，通过matlab代码，正确率可以达到98％。( Wavelet packet analysis to extract vibration signal characteristic frequency, By matlab code, Accuracy can reach 98 .)

使用matlab写了一个很有意思的程序 大家看看作为参考(Use matlab write a very interesting program we look at as a reference)

huffman encoding for image compression

微信功能实现通信机制沟通你我他.在你我他之间架起沟通的桥梁(Micro-channel communication mechanism to achieve functional communication you and me. Between you and me, he acted as bridges)

美国林肯实验室关于空时自适应处理里程碑式的著作Ward报告的程序源代码(The source code for adaptive processing of milepost type Ward book report of space-time USA Lincoln Laboratory)

汽车高斯曲面拟合 --- 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 --- 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))