SM_SCMA-master

一片很好的见解EM 用在编码系统中的文章，英文的，很值得一看。很经典的一篇。(A good insight in the EM coding system used in the article, in English, is worth a visit. Classic one.)

说明：  改写的matlab fft程序，能对fft结果幅度调整和对横坐标的频率实行自动匹配(Matlab fft procedure adapted to the results of the fft and the abscissa is adjusted automatically to match the frequency of)

流水灯简单的方案，用最少的代码实现最多的变化(Water lamp simple program, with a minimum of code changes to achieve the most)

说明：  hough变换，可以经过图像的边缘点实现霍夫变换，即实现空间转换！(hough transform, image edge points can be achieved through the Hough transform, that is to achieve space conversion!)

本论文的工作是对近场圆形阵列宽带信号进行处理，获得目标/焦点位置增益输出， 预先定义宽带信号阻带的旁瓣衰减大小以及感兴趣频域内的恒定波束宽带模式。本文使 用不同的方法解决这个设计问题，该问题分为两部分，第一部分解决频域内的模型设计， 第二部分给出时域内的结果。仿真结果表明解决方法的有效性。 (This thesis work is a circular array of broadband near-field signal is processed to obtain the target/focus position gain output, Pre-defined stopband sidelobe wideband signal attenuation constant beam size and frequency domain of interest wideband mode. This paper makes To solve this problem in different ways design, the problem is divided into two parts, the first part of the solution in the frequency domain model design, The second part gives the result in the time domain. The simulation results show the effectiveness of the solution.)

实现ID3 决策树算法，并使用MATLAB自带的工具箱函数画出决策树生成相应的规则(Achieve ID3 decision tree algorithm, and using MATLAB toolbox function that comes with the decision tree to generate the appropriate rules to draw)

最大 李维普罗夫指数 的程序，以及相关的源程序(Maximum Levi Proff index procedure, and the related source code)

Another particle filter implementation (by by Diego Andrés Alvarez Marín) that implements Arulampalam et. al. (2002). A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking. IEEE Transactions on Signal Processing. 50 (2). p 174--188

用matlab实现广义最小二乘的数值运算，欢迎大家参考。(Achieve numerical computation of generalized least squares)

摩尔边界的源码在计算电磁学中有很大应用大家好好学习！！！(Moore border in the calculation of electromagnetic source in the study have significant application study hard everyone! ! !)