libsvm-3.18

matlab教程ppt 绝对实用 简介明快 一看就懂(the ppt about matlab)

基于IMM的CA模型 matlab程序(Based on the IMM the CA model matlab program)

认知无线电技术是当前缓解频谱资源紧张的有效解决方案，频谱感知是认知无线电的关键技术，其中，能量检测是经典的频谱感知算法，对于研究频谱感知的初学者来说比较重要。(Cognitive radio technology is an effective solution to alleviate the tension of spectrum resources. Spectrum sensing is the key technology of cognitive radio. Among them, energy detection is a classical spectrum sensing algorithm, which is important for the study of spectrum-aware beginners.)

关于最大似然重建方法的实现，可用于tomography reconstruction(This is the code for maximum likelihood expectation maximum reconstruction method which is frequently applied in tomography reconstruction, such as CT and PET)

Matlab有限元分析与应用，很好很重要(Matlab finite element analysis and applications, very good is very important)

说明：  MATLAB在电子信息类专业基础课中的应用，给你的专业课带来方便。(MATLAB in the professional category of electronic information in the application of basic courses, professional courses to your convenience.)

Grade Calculating Software

迭代法是解线性代数方程组的另一类方法，特别适用于解大型稀疏线性方程组。它的基本思想是针对求解问题预先设计好某种迭代格式，从而产生求解问题的近似解迭代序列，在迭代序列收敛于精确解的情况下，按精度要求取某个迭代值作为问题解的近似值。迭代法具有原始系数举证始终不变，算法简单，编写程序较方便，所需存储单元较少的优点。(iterative method was the linear algebraic equations of the other methods, particularly applicable to the large sparse linear equations. The basic idea is to solve the problem in advance against the design iteration some good format, thereby creating problems for the approximate solution of iterative sequence, the iterative sequence converges to the exact solution, precision demanded by a certain value as a question iterative solution approximation. Iteration with the original proof coefficient remains unchanged, the algorithm is simple, the preparation process more convenient, less required storage unit advantages.)

这个程序是用matlab 编写的GMSK的调制程序希望对大家有用(This program is to use matlab GMSK modulation of the program for people to use)

说明：  关于MATALAB的书籍文章很经典值得一看解压后必须使用超星浏览器观看(MATALAB article on classic books worth a visit after decompression must use a browser Chaoxing Views)