null_beamform_cf

互信息盲源分离，这基于这么一个事实，混合信号的互信息最小时，意味着信号独立。可以参考有关书籍。在google里面，搜索mutual information blind source separation.即可搜到文章。(mutual information Blind Source Separation, such a fact-based, mixed-signal information in the most hours of each other, mean signal independence. Can reference to the books. Google the inside, Search mutual information blind source separation . that article can be found.)

matlab是一门简单易学的重要工具，一个简明的例程可以事半功倍。(matlab is an easy to learn an important tool for a concise routines can do more with less.)

说明：  基于蚁群算法和Dijkstra算法的二维路径规划，程序是MATLAB的m文件，下载运行main文件即可(Two-dimensional path planning based on ant colony algorithm and Dijkstra algorithm, the program is m file of MATLAB, download and run the main file.)

一种振动信号频域处理方法，希望对大家有用(Vibration frequency domain signal processing method)

PDF文档 动态心电图QRS检测与统计分析的研究与实现(PDF document, ECG QRS detection and dynamic Research and Implementation of Statistical Analysis)

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))

用matlab生成声表波，进行数据仿真，生成的波形为120*100段(matlab data)

Visual C matlab 图像处理与识别实用案例精选(visual C matlab)

基于SIMULINK矢量控制系统的仿真,希望能给大家带来帮助。(Vector control system based on SIMULINK simulation, We hope you help.)

利用K均值算法对7个波段的TM遥感影像进行有监督的分类！里面包含完整的算法及TM图像，下载即可进行调试!(K means algorithm using 7 bands of TM remote sensing image supervised classification! Which contains the complete algorithm and the TM image, download it for debugging!)