Alpine1

卫星星下点matlab程序:卫星星下点的运行轨迹代码(Matlab program for satellite subsatellite point)

一个关于降维方法的matlab工具包，包含25种常用降维技术的源码(A matlab toolkit on dimensionality reduction method，containing 25 commonly used source dimension reduction techniques)

plot figure no focus(figure no focus)

二元线阵复加权的小程序，输出不同条件的方向图波束，很好的概念展示(The two yuan line array of complex weighting applet, the output beam pattern of the different conditions, the concept of good show)

摘　要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。(Abstract:This paperproposed a new pareto-based multi-object evolutionary mi mune algorithm(PMEIA). PMEIA selected optmi alnon-dominated antibodieswhichwere then reserved inmemory cellarchive, and introducedParzenwindow to calculate entropy ofmemory cells. Updated thememory cell archive according to entropy ofmemory cells. This guarantees the conver- gence to the true Pareto fron.t Moreover, the performance of clone selection was dependent on distribution in the objective space, whichwas favorable forgetting awidely spreadPareto frontand mi proving convergence speed. Comparedwith the exis- ted algorithms, the obtained solutions ofPMEIA havemuch betterperformance in the convergence, diversity and distribution.)

用MATLAB实现递推数列的卷积和FFT算法(Using MATLAB implementation of the FFT algorithm for recursive sequence)

说明：  带时间滞后项的最小二乘法，主要用于金融时间序列数据的拟合(least square method)

复杂网络社团划分算法中的模拟退火算法，ｍａｔｌａｂ实现的(Complex network of associations into the simulated annealing algorithm, matlab implementation)

　支持向量机方法是建立在统计学习理论的VC 维理论和结构风险最小原理基础上的，根据有限的样本信息在模型的复杂性（即对特定训练样本的学习精度，Accuracy）和学习能力（即无错误地识别任意样本的能力）之间寻求最佳折衷，以期获得最好的推广能力[14]（或称泛化能力）。 (SVM is based on statistical learning theory and the theory of VC dimension based on structural risk minimization principle, according to the limited sample of information in the model complexity (ie, training samples of a specific learning accuracy, Accuracy) and learning ability (ie, error-free samples to identify any capacity) to find the best compromise between, in order to obtain the best generalization ability [14] (or generalization).)

ISAR成像 包络对齐采用相关法对齐，相位聚焦采用多普勒中心跟踪法 和秩估计法(ISAR imaging envelope alignment using correlation method align phase focusing using the Doppler centroid tracking method and rank estimation method)