maple-code

matlab浪漫小礼花。（在生活中我们经常看到一些礼花，但瞬间就没有啦，这是用matlab模拟的）(matlab romantic small fireworks. (In life, we often see some fireworks, but the moment there is no matter, this is matlab simulation))

变换编码中相关系数的求解，特别适用于KLT变换，得到对角矩阵(Correlation coefficients in transform coding solution, especially suitable for KLT transform, the diagonal matrix)

灰色系统预测GM（1，1）模型的MATLAB源代码(Gray Forecast GM (1,1) model of MATLAB source code)

matlab编程电子书籍,书中内容较丰富，说明较详实，是matlab编程者的很好学习资料。(eletronic book about matlab programming ，there are plenty of materials in the book, it is a good book for the people with matlab.)

说明：  典型的SAR回波模型，对初学者还可以。大家可以下载下来调试一下(A typical SAR echo model, beginners can also)

基本的MATLAB界面设置,未说到具体M编程和调试(The basic MATLAB interface settings, not when it comes to specific programming and debugging M)

本代码实现的是在实际情况下仿真DPSK调制信号在莱斯衰落信道下的各项性能分析(the code just for the DPSK signal of laisi)

Matlab有关于天线结构设计的源代码分析，适用于RF的天线设计工程师(Matlab about the antenna structure design source code analysis for RF antenna design engineer)

多目标优化 相对传统多目标优化方法, PSO在求解多目标问题上具有很大优势。首先, PSO的高效搜索能力有利于得到多目标意义下的最优解 其次, PSO通过代表整个解集的种群按内在的并行方式同时搜索多个非劣解,因此容易搜索到多个Pareto 最优解 再则, PSO的通用性使其适合于处理所有类型的目标函数和约束 另外, PSO 很容易与传统方法相结合,进而提出解决特定问题的高效方法。就PSO 本身而言,为了更好地解决多目标优化问题,必须解决全局最优粒子和个体最优粒子的选择问题(Compared with the traditional multi-objective optimization of multi-objective optimization method, PSO in solving multi-objective problem has a great advantage. First, PSO is conducive to the efficient search capabilities are more objective sense of the optimal solution Secondly, PSO representative of the entire solution set through the population by way of the inherent parallel search multiple non-inferior solution, and this can easily search for the most number of Pareto optimal solution Furthermore, PSO' s versatility make it suitable for handling all types of objective function and constraints addition, PSO is easy to integrate with the traditional method, and then propose an efficient way to solve specific problems. The PSO itself, in order to better address the multi-objective optimization problems, the need to address the global best particle and the individual selection of the optimal particle)

Codes for lagnormal distribution of programs in MATLAB.