withcoding

关于二进制线性编码的程序，研究了它的功率频谱图 (About binary linear codes of procedures, the study of its power spectrum diagram)

小波消噪算法我用的小波消噪算法我用的小波消噪算法我用的(Wavelet denoising method I use)

用PEG构造法生成LDPC监督矩阵的程序(With PEG construction method to generate LDPC matrix program oversight)

倒立摆模型源码及机构图，可以方便大家对于倒立摆模型的应用及改造(Inverted pendulum model source and organization chart, can facilitate the application of the inverted pendulum model and transformation)

包括两个简单卡尔曼滤波例子和一个最小二乘法例程(Filtering and least squares)

说明：  Some common algorithms

说明：  本目录存放的小波编码实现的源程序： 打开ezw2.dsw工作区，编译后可在\ezw2\ezw\debug中找到编码可执行程序； 在\ezw2\unezw\debug中找到解码可执行程序。(Wavelet realization of the source coding : Open ezw2.dsw work, compiled in \ ezw2 \ ezw \ debug find executable code; In \ ezw2 \ unezw \ debug find decoder executable.)

谱聚类算法建立在谱图理论基础上，与传统的聚类算法相比，它具有能在任意形状的样本空间上聚类且收敛于全局最优解的优点。 该算法首先根据给定的样本数据集定义一个描述成对数据点相似度的亲合矩阵,并且计算矩阵的特征值和特征向量 ， 然后选择合适 的特征向量聚类不同的数据点。谱聚类算法最初用于计算机视觉 、VLS I 设计等领域， 最近才开始用于机器学习中，并迅速成为国际上机器学习领域的研究热点。(Spectral clustering algorithm based on the reproduction diagram theory, compared with the traditional clustering algorithm, it can have on the arbitrary shape of sample space clustering, and the advantage of converge to global optimal solution.The algorithm firstly according to the given sample data set defines a description of the data points of similarity in pairs of affinity matrix, and computing the matrix eigenvalue and characteristic vector, and then choose the appropriate feature vector clustering of different data points.Spectral clustering algorithm was originally used in computer vision, VLS in areas such as design, I recently started used in machine learning, and quickly became a hot issue in the field of international machine learning research.)

自己编写的BFSK调制与解调，内含matlab-figure-file、matlab-M-file和得出的jpg格式图形！(I have written BFSK modulation and demodulation, containing matlab-figure-file, matlab-M-file and come to the jpg format graphics!)

模拟通信系统中的DSB-AM仿真，利用其原理在理想环境相对其进行的仿真。(Simulation of Communication Systems Simulation DSB-AM, using the principle in the ideal environment relative to the simulation.)