plots_GUI

SVM进行分类的实验的源代码，还有进行回归(SVM)

电子通信系统的建模与仿真 第7章 通信系统差错控制仿真 7.1 缩短卷积码 7.2 有缩短卷积码加交织的差错控制系统研究 7.3 自适应均衡系统（LMS算法） 7.4 迭代译码的级联卷积码 (Electronic communications system modeling and simulation of Chapter 7 error control communication systems simulation 7.1 shortened 7.2 convolutional code convolutional code increases have shortened intertwined system of error control 7.3 adaptive equalization system (LMS algorithm) Iterative Decoding of level 7.4 convolutional codes in conjunction)

说明：  一个jake信道算法程序，希望对研究这方面的同学有帮助(A jake channel algorithm procedures in the hope of the research in this area has to help students)

说明：  最短路径的Dijkstra算法程序。Dijkstra算法是典型最短路算法，用于计算一个节点到其他所有节点的最短路径。主要特点是以起始点为中心向外层层扩展，直到扩展到终点为止。Dijkstra算法能得出最短路径的最优解，但由于它遍历计算的节点很多，所以效率低。 　　Dijkstra算法是很有代表性的最短路算法，在很多专业课程中都作为基本内容有详细的介绍，如数据结构，图论，运筹学等等。 (The Dijkstra shortest path algorithm for the procedure. Dijkstra algorithm is a typical shortest path algorithm, used to calculate a node to all other nodes of the shortest path. The main characteristics is the starting point as the center outward expansion layers, until the end date be extended to. Dijkstra shortest path algorithm can arrive at the optimal solution, but because of its calculation of the node traversal, so inefficient. Dijkstra algorithm is very representative of the shortest path algorithm, in many professional courses in the basic content as described in detail, such as data structures, graph theory, operational research and so on.)

短时傅立叶变换，确定时变信号其局部区域正弦波的频率与相位(short-time Fourier transform)

matpower算例程序程序及详细的说明文件，方便改进算法(matpower study program procedures and detailed documentation to facilitate improved algorithm)

这是个人总结的各种聚类算法的优缺点比较，包括了常用的一些聚类算法，如层次聚类算法、分割聚类算法、基于约束的算法等(The comparison of various clustering algorithms by myself,including 5 common clustering algorithms)

说明：  matlab混合编程（书中程序） 这个为第五章(matlab mixed programming (program book) The fifth chapter)

Communication Systems Lab

最终的权值矩阵就是滤波器的系数，处理信号的时频分析，阵列信号处理的高分辨率估计，包括最小二乘法、SVM、神经网络、1_k近邻法,有较好的参考价值，结合PCA的尺度不变特征变换(SIFT)算法，计算加权加速度,旋转机械二维全息谱计算。( The final weight matrix is ??the filter coefficient, When processing a signal frequency analysis, High-resolution array signal processing estimates, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, There are good reference value, Combined with PCA scale invariant feature transform (SIFT) algorithm, Weighted acceleration, Rotating machinery 2-d holographic spectrum calculation.)