calculaPAR

matlab的 cma 算法 代码 个人作品 绝对能执行(The cma algorithm matlab code for the implementation of individual works can certainly)

MATLAB® SimulinkInstallation Guide Release 2012a(MATLAB® & Simulink® Installation Guide Release 2012a)

很清晰的二项分布 matlab 代码,有助于理解寿命分布(Binomial distribution is very clear matlab code to help understand the life distribution)

ldpc的编码和译码方法，译码我验证过了，都是对的，包括wbf和bf译码方法，编码方法包括四种不同的编码方法(LDPC encoding and decoding method, decoding I verified, all is right, including any WBF and bf decoding method, the encoding methods include four different coding methods )

利用matlab解方程的程序，可以用过微分方程，提供了集中方法(Using matlab solving equations can be used to differential equations, provides methods)

TRAM程序使用MATLAB代码编写实现直推式多标记学习算法。里面包括可读文件和实例。(This package includes the MATLAB codes for transductive multi-label learning algorithm. A Readme file and an example file are included in the package. )

在PDSCH信道下，运用非正交的知识做的系统级仿真，并采用编码译码方式降低用户的误码率。(In PDSCH channel, the use of non-orthogonal knowledge to do system-level simulation, and the use of codec way to reduce user error rate.)

Matlab自学教程帮助使用者理解各种指令和功能，加上算法实例的应用，是使用者更好的理解和掌握Matlab常用指令和功能，为以后的学习打下一个良好的基础。(Matlab self-study tutorial helps users understand various instructions and functions, plus the application of algorithm examples, it is better for users to understand and master the common instructions and functions of Matlab, and lay a good foundation for future learning.)

非平衡数据集的分类问题经常出现在许多实际应用中.支持向量机在处理这一类问题时,整体分类性能比较低.为此,Veropoulos提出的采用不同惩罚系数的改进算法可以较好的解决此类问题.此外,可以利用序列最小优化算法简单快速的解决上述优化问题.(Non-equilibrium data sets classification problems often appear in many practical applications. Support Vector Machine in dealing with this type of issue, the overall classification performance is relatively low. To this end, Veropoulos proposed punishment coefficient using different algorithms can improve the better solution such issues. In addition, can use the Sequential Minimal Optimization algorithm is simple and fast solution to the above optimization problem.)

遗传量子算法求解背包问题Matlab源码(Quantum Genetic Algorithm for Knapsack Problem)