compute

基于KL25的开发例程，本例程关于异步通信，附带相关底层构建，十分适合初学者参考编程。(Based on KL25 development routine, the routine of asynchronous communication, with related underlying build, programming is very suitable for beginners reference.)

这个源码提供了穿墙雷达反向投影成像算法的实现(backprojection（BP）算法)

matlab中的永磁同步电机实验算法验证工程(The permanent magnet synchronous motor matlab algorithm validation experiment works)

基于MATLAB平台的radon变换程序，用于图像处理，直线检测(Radon transform image processing program based on MATLAB environment, radon transform line detection for linear detection)

说明：  基于天线阵列协方差矩阵的特征分解类DOA估计算法中，多重信号分类（MUSIC）算法具有普遍适用性，只要已知天线阵的分布形式，无论直线阵还是圆阵，不管阵元是否等间隔分布，都可以得到高分辨率的估计结果。(In the DOA estimation algorithm based on eigendecomposition of antenna array covariance matrix, the multi signal classification (Music) algorithm has universal applicability. As long as the distribution form of antenna array is known, whether the linear array or the circular array, whether the array elements are equally spaced or not, the high-resolution estimation results can be obtained.)

对于IEC谐波检测的程序，采用hanning窗函数，然而求解(For the IEC harmonic detection process, using hanning window function, but the solution)

water ripple live wallpaper

Simple implementation of DFT/IDFT in matlab

二维波动方程的有限差分法，与解析解进行了误差比对(Finite difference method for two-dimensional wave equation)

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)