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draw raised cosine filter response draw raised cosine filter response draw raised cosine filter response draw raised cosine filter response

说明：  一个利用Matlab绘图的教程，可以简单的绘制一些曲线。(A use of Matlab graphics tutorials, you can draw a number of simple curves.)

线性分组码的编码，译码，大家可以借鉴使用，希望大家喜欢。(Linear block code encoding, decoding, we can learn to use, I hope you like it.)

face_detected matlab 进行人脸检测 利用最大连通域(face_detected matlab )

包含几个具体事例及其对程序内容的详解，能够帮助理解小波实现得具体过程(Contains several concrete examples of its contents Xiangjie the program can help to understand the specific process may Wavelet)

说明：  该算法用于图片切割，有详细的源代码和注释。于是希望大家能好好利用(The algorithm used for image cutting, detailed source code and comments. So hope that we can make good use of)

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))

说明：  物元分析法由我国数学家蔡文在 20 世纪 80 年代提出． 应用物元法建立多指标评价模型，可以针对复杂问题建立形象化模型，定量化得出评价结果，从而较完整、准确地反映事物的综合水平。利用matlab编程，进行如下步骤计算：1、待判物元的确定；2、经典域、节域的确定；3、关联函数；4、综合关联度(Matter-element analysis method was put forward by Chinese mathematician Cai Wen in 1980's. Applying matter-element method to establish multi-index evaluation model can establish visualization model for complex problems and quantify the evaluation results, so as to reflect the comprehensive level of things more completely and accurately. Using MATLAB programming, the following steps are calculated: 1. determination of the subject element to be judged; 2. determination of classical domain and node domain; 3. correlation function; 4. comprehensive correlation degree)

共轭梯度法，是数值分析中很重要的一种，源码为其在matlab中的实现。(Conjugate gradient method, numerical analysis is a very important one in the matlab source code for its realization.)

matlab code for syntheti seismic generation