The_C_Programming_Language

几个非线性系统学习的源码，包括李雅普诺夫指数，洛伦兹吸引子的画法，boost开关变换器，分叉图等等，适合非线性系统的学习仿真(Several of the source study of nonlinear systems, including Lyapunov exponents, Lorenz attractor painting, boost switching converter, bifurcation map, etc., suitable for simulation study of nonlinear systems)

说明：  数据通信中误码检测机制的研究，使用MATLAB对二维奇偶校验码进行测试(Studies of Error Detection Techniques in Data Communications，two-dimensional parity check is simulated through MATLAB)

主要是基于mtlab的程序，DoIqpNo参数是机器学习的例程，预报误差法参数辨识-松弛的思想，具有丰富的参数选项,Uwcywde条件基于matlab GUI界面设计,采用了小波去噪的思想。( Mainly based on the mtlab procedures, DoIqpNo parameter Machine learning routines, Prediction Error Method for Parameter Identification- the idea of relaxation, It has a wealth of parameter options, Uwcywde condition Based on matlab GUI interface design, Using wavelet denoising thought.)

说明：  用二进制遗传算法做特征选择，此算法效率高，选择的特征数目少。(The binary genetic algorithm is used for feature selection, which has high efficiency and few features.)

自己做的双目标定的MATLAB标定实例，附带图像和仿真程序！(Make their own calibration of the binocular calibration of MATLAB examples, incidental images, and simulation program!)

实现超宽带信号在自由空间，室内的传播过程，该过程通过FDTD技术来实现。(Through FDTD technology,we simulate the process that UWB signal transmits in freespace)

利用MATLABWebServer实现在线作图，这个资料很有用(To use MATLABWebServer online mapping, this information is useful)

非常有用的ansys与matlab相结合分析文献请大家参考(Useful ansys and matlab combined analysis of the literature reference)

传统的宽带信号中抑制正弦干扰的方法是采用陷波器(notch filter),为此需要精确知道干扰正弦的频率.然而当干扰正弦频率是缓慢变化时,且选频率特性要求十分尖锐时,则最好采用自适应噪声抵消的方法.下图是用一个二阶FIR的LMS自适应滤波器消除正弦干扰的一个方案。该代码实现了以下功能： 1) 借助MATLAB画出了滤波器的误差性能曲面和误差性能曲面的等值曲线； 2） 给出了最陡下降法以及LMS算法的计算公式； 3） 用MATLAB产生了方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形； 4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出了采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线； 5）用MATLAB计算并画出了LMS法时误差随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形； 6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线； 7）最终对结果进行了分析，具体见压缩包的word文档。 (Wideband signal in the conventional sinusoidal interference suppression method is the use notch filter (notch filter), this requires precise knowledge of the frequency of a sinusoidal interference . However, when the interference frequency sinusoidal changes slowly , and the selected frequency characteristic requirements are very sharp , then best use of adaptive noise cancellation method . following figure is a second-order FIR LMS adaptive filter to eliminate a program sinusoidal interference . The code implements the following functions:   A ) draw with MATLAB error performance of the filter surface and the surface contour error performance curve 2 ) gives the steepest descent method and the LMS algorithm formula 3 ) generated using MATLAB variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform 4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour pl)

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