ConventionalBeamforming1

The DocPolynom to Character Converter The char method produces a character string that represents the polynomial displayed as powers of an independent variable, x. Therefore, after you have specified a value for x, the string returned is a syntactically correct MATLAB expression, which you can evaluate. The char method uses a cell array to collect the string components that make up the displayed polynomial. The disp method uses char to format the DocPolynom object for display. Class users are not likely to call the char or disp methods directly, but these methods enable the DocPolynom class to behave like other data classes in MATLAB. Here is the char method.

matlab的一些波束形成的算法 多种方法。。(the matlab the beamforming algorithm a variety of methods. .)

模式识别中的bayes判别分析算法，正确率可以达到98％，包括轨道机动仿真、初轨计算。( Pattern Recognition bayes discriminant analysis algorithm, Accuracy can reach 98 , Including orbital maneuvering simulation, initial orbit calculation.)

菜单的仿真，通过修改菜单可以修改自己需要修改的参数，例如PID(Simulation menu, the menu can be modified by modifying the need to modify the parameters of their own, such as PID)

包括语音的录制程序，加噪程序，以及标准的噪声库，还有用谱减法实现带噪语言信号的增强等程序(ncluding voice recording program, noise procedures, and standards of noise library, as well as achieve the noisy speech signal enhancement using spectral subtraction procedure)

在本演示中，一个简单的图像检索方法，提出基于图像的颜色分布。用户只需提供一个“例子”的形象和搜索是基于这个例子（例如基于查询的图像）。包括图像和教学指令!!!(In this demo, a simple image retrieval method is presented, based on the color distribution of the images. The user simply provides an "example" image and the search is based upon that example (query by image example). Experiment image and instruction included!!!)

压缩传感，MATLAB，图像重建，正交匹配追踪，打破乃奎斯特定理，图像分块处理(Compressed sensing, MATLAB, image reconstruction, orthogonal matching pursuit, breaking the Nyquist theorem, the image block processing)

描绘出衰落信道中Jakes模型 此为主函数体 并在主函数中调用jakes模型(Jakes model depicts Fading This is the main body of the function in the main function call jakes model)

Matlab 软件基础学习资料，改章为第六章“元胞与构架”(Matlab software based learning materials, change chapter is Chapter 6, " Cellular and architecture." )

经验模态分解方法简称EMD方法。该方法从本质上讲是对一个信号进行平稳化处理，其结果是将信号中真实存在的不同尺度波动或趋势逐级分解开来，产生一系列具有不同特征尺度的数据序列。(Empirical mode decomposition method is referred to as the EMD method. This method is in essence a signal smoothing processing, the result is the real signal different scales swings or trends gradual decomposition open, resulting in a series of a data sequence having a different characteristic scale.)