Unsupervised-cluster-analysis

一个简单的matlab遗传算法，实现数的平方最优值(a simple genetic algorithm implemented by matlab to solve the optimization of the data square)

In the rectangle packing problem, encoding schemes to represent the placements of rectangles are the key factors determining the efficiency of algorithms. SEQP AIR is one of the most sophisticated encoding sheme, which has been considered to have a small solution space

详细介绍MATLAB中s函数的用法，帮助初学者掌握s函数(S introduction of a detailed MATLAB function usage to help beginners master s function)

template for a technical paper

用AR模型和KARMAN功率谱对脉动风进行模拟，在此基础上叠加平均风，得到风序列(KARMAN power spectrum with AR model and simulate the fluctuating wind , the average wind overlay, get wind sequence)

在MATLAB中显示了WCDMA的仿真，并在SIMULINK中仿真通过(WCDMA is shown in the MATLAB simulation and the simulation by SIMULINK)

仿真了相控阵雷达的天线方向图，能进行不同的状态参数设置，产生的天线方向图(Simulation of a phased array radar antenna pattern, can be a different state parameter settings, resulting antenna pattern)

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))

文件中包含了Turbo码和卷积码误码率的对比，其中Turbo码采用了BCJR译码算法，迭代次数分别为1、2、3、4次。文件中包含了源代码和分析文档(File contains a comparison of Turbo code and convolution code BER, which Turbo code decoding algorithm used BCJR iterations respectively 1,2,3,4 times. File contains the source code and documentation analysis)

泊松分布在现实中的一个应用~matlab实现~(Poisson distribution in reality an application ~ matlab achieve to)