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ldpc编码，随机生成H矩阵，LLR-BP算法译码，有我详细的注解，非常详尽(ldpc coding, randomly generated H matrix, LLR-BP decoding algorithm, with my detailed notes, very detailed)

对所给数据进行滤波，得到更具规律性的数据曲线(For the given data filtering, to obtain a more regular data curve)

本代码使用高斯绝对稀疏信号进行重构，采用的重构算法是SAMP，重构效果好！(This code uses the absolute sparse Gaussian signal reconstruction, reconstruction algorithm uses a SAMP, good remodeling effect!)

说明：  分支定界法（branch and bound）是一种求解整数规划问题的最常用算法。这种方法不但可以求解纯整数规划，还可以求解混合整数规划问题。分支定界法是一种搜索与迭代的方法，选择不同的分支变量和子问题进行分支。 对于两个变量的整数规划问题，使用网格的方法有时更为简单。 [1] 通常，把全部可行解空间反复地分割为越来越小的子集，称为分支；并且对每个子集内的解集计算一个目标下界（对于最小值问题），这称为定界。在每次分枝后，凡是界限超出已知可行解集目标值的那些子集不再进一步分枝，这样，许多子集可不予考虑，这称剪枝。这就是分枝定界法的主要思路。(Branch and bound method is one of the most commonly used algorithms to solve integer programming problems. This method can solve not only pure integer programming but also mixed integer programming. Branch and bound algorithm is a method of search and iteration, which selects branches with different branch variables and sub problems. For integer programming problems with two variables, the grid method is sometimes simpler[ 1] Generally, all feasible solution spaces are divided into smaller and smaller subsets repeatedly, which is called bifurcation; And a lower bound of the objective (for the minimum value problem) is calculated for the solution set in each subset, which is called the bound. After each branch, those subsets whose bounds exceed the objective value of the known feasible solution set will not be further branched, so many subsets can not be considered, which is called pruning. This is the main idea of branch and bound method.)

说明：  认知无线电中频谱感知技术的AM信号能量检测技术和周期平稳检测技术(Spectrum sensing in cognitive radio technologies AM signal energy detection and cyclostationary detection)

linear system equation solver on OpenFOAM

说明：  Theoretical analysis and experimental results show that the algorithm has large key space, high sensitivity, and high speed.

it is a full gui of calculator created using guide option in matlab.

基本PSO算法源代码,可以直接在matlab中运行。效果不错，适合初学者。(Basic PSO algorithm source code can be directly run in matlab. Good results, suitable for beginners.)

五种风速合成的典型的风速模块，适合于各种风速模型(The typical wind speed module of five kinds of wind speed is suitable for all kinds of wind speed model.)