DTmain

fem nonlinear source code using weighted residuals

菲尔德网络知识，对神经网络只是大大的补充，该算法应用很广。(Rumsfeld network knowledge, the neural network is greatly supplement, the algorithm is widely used.)

能够产生多种信号，Matlab编写的，非常好用(Can produce a wide range of signal, Matlab prepared, very easy to use)

用matlab编写的卡尔曼滤波程序，一个文件(Kalman filter using matlab programs written in)

说明：  衰落程序，大家可以参考看看。matlab编的。(Fading process, we can look at the reference. matlab series.)

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)

概率向量为p的哈夫曼码生成器，返回哈夫曼码矩阵h和一个概率向量为p的信源的码字长度(Probability vector p of the Huffman code generator, return to Huffman code matrix h and a probability vector p of the source of the code length)

基于matlab 的fsk传输系统的仿真程序 包括性能分析,误差计算等(The fsk transmission system based on matlab simulation program, including performance analysis, error calculation)

用matlab程序实现生成gold序列，首先生成m序列，然后用两个m序列生成gold序列。(Matlab program generated by gold sequences, the first generation of m sequences, and then the two m sequence generated by gold sequences.)

说明：  珍藏版，可实现，新K均值聚类算法，分为如下几个步骤： 一、初始化聚类中心 1、根据具体问题，凭经验从样本集中选出C个比较合适的样本作为初始聚类中心。 2、用前C个样本作为初始聚类中心。 3、将全部样本随机地分成C类，计算每类的样本均值，将样本均值作为初始聚类中心。 二、初始聚类 1、按就近原则将样本归入各聚类中心所代表的类中。 2、取一样本，将其归入与其最近的聚类中心的那一类中，重新计算样本均值，更新聚类中心。然后取下一样本，重复操作，直至所有样本归入相应类中。 三、判断聚类是否合理 采用误差平方和准则函数判断聚类是否合理，不合理则修改分类。循环进行判断、修改直至达到算法终止条件。(NewK-means clustering algorithm ，Divided into the following several steps: A, initialize clustering center 1, according to the specific problems, from samples with experience selected C a more appropriate focus the sample as the initial clustering center. 2, with former C a sample as the initial clustering center. 3, will all samples randomly divided into C, calculate the sample mean, each the sample mean as the initial clustering center. Second, initial clustering 1, according to the sample into the nearest principle clustering center represents the class. 2, as this, take the its recent as clustering center of that category, recount the sample mean, update clustering center. And then taking off, as this, repeated operation until all samples into the corresponding class. Three, judge clustering is reasonable Adopt error squares principles function cluster analysis.after clustering whether reasonable, no reasonable criterion revisio)