sphereworkspace

這是我自己練習用的程式碼用於matlab(This is my own practice to use the code for matlab)

包括Koch曲线、Levy 曲线、分形树、Sierpinski三角形，并附有详细的注解(leaf_by_recursion，Sierpinski三角，spirall，recurs_polygon3，recurs_star7等等)

全自动测量第二导联ECG数据中的QT间隔，RMS误差为26ms，精确很高。( Fully Automated Method for QT Interval Measurement in ECG)

optimisation generateur PV

蚁群优化算法 一种根据蚂蚁觅食设计的仿生优化算法 通过matlab实现(An ant colony optimization algorithm based on ant foraging optimization algorithm designed to achieve through matlab)

说明：  英文字符识别,很有用的 有详细的代码解析(q nhi ddddddd)

提出了一种新的多目标粒子群优化(MOPSO)算法，该算法采用自适应网格方法来估计非劣解集中粒子的密度信息、平衡全局和局 部搜索能力的 Pareto 最优解的搜索机制、删除品质差的多余粒子的 Archive 集的修剪技术。通过对三峡梯级多目标优化调度问题的计算， 表明该算法是求解大规模复杂多目标优化问题的一种有效手段。(A new multi-objective particle swarm optimization(MOPSO) is proposed. The proposed algorithms employs three techniques: adaptive grid algorithms, which can obtain the valid density value of particles in Archive set Pareto optimal solution searching algorithm, which can equalize the ability of global and local searching Archive pruning techniques, which can remove inferior particles in Archive set to fix the size of Archive set. The algorithm is applied to solve multi-objective optimal regulation of Three Gorges. The simulation performance indicates the effectiveness of the presented algorithm with regard to solving the large scale complex multi-objective optimization problem.)

对雷达帧扫秒到的运动目标进行跟踪，并在MATLAB中进行仿真和验证(Frame on the radar sweep seconds to track moving objects, and carried out in the MATLAB simulation and verification)

从介绍功率谱的估计原理入手分析了经典谱估计和现代谱估计两类估计方法的原理、各自特点及在Matlab 中的实现方法(Start from the introduced power spectrum estimation principle to the principle of classical spectral estimation and spectral estimation are two types of estimation methods, their characteristics and implementation in Matlab)

通过公式SW=（C/Crand）/（L/Lrand）求取复杂网络的小世界性系数。 注：其中聚类系数和平均距离都是直接调用工具包中的函数。(By the formula SW = (C/Crand)/(L/Lrand) to strike a small complex networks worldwide coefficients. Note: where clustering coefficient and average distance are called directly toolkit functions.)