data101

说明：  包含两个MATLAB程序，具体内容见里面的txt文档，第一个程序近似算法结果很差(Contains two MATLAB program details see the inside of the txt document, the first result of poor process approximation algorithm)

NUMERICAL OPTIMIZATION: This is steepest descent method with constant step length to find the minima of f(x, y) = xy exp(− 2x^2 − y^2 + 0.3y) Graphical represxentation in 5 ways of solution, simple and clear explained. (NUMERICAL OPTIMIZATION: This is steepest descent method with constant step length to find the minima of f(x, y) = xy exp(− 2x^2 − y^2+ 0.3y) Graphical represxentation in 5 ways of solution, simple and clear explained. )

基于GSM信号的多站无源定位精度分析的matlab仿真(GSM signals based positioning precision multi-station analysis of passive matlab simulation)

age predictor, not really good

本程序实现对图像的打开、退出操作，以及图像旋转、添加噪声、图像平滑（椒盐噪声处理、均值低通滤波处理、中值滤波处理）、图像直方图显示、预测编码，在MATLAB中用GUI实现。(This program implements the image is opened, quit the operation, as well as image rotation, adding noise, image smoothing (salt and pepper noise processing, the mean low-pass filtering, median filtering process), histogram display, predictive coding, in MATLAB using GUI implementation.)

粒子滤波matlab仿真程序.粒子滤波的基本思想是：首先依据系统状态向量的经验条件分布，在状态空间抽样产生一组随机样本集合，这些样本集合称为粒子；然后根据观测值不断调整粒子的权重大小和样本位置；最后通过调整后的粒子信息修正最初的的经验条件分布，估计出系统状态和参数。该算法是一种递推滤波算法，可以用来估计任意非线性非高斯随机系统的状态和参数。 粒子滤波主要有三步基本操作：采样（从不含观察值的状态空间产生新的粒子）、权值计算（根据观察值计算各个粒子的权值）、重采样（抛弃权值小的粒子，使用权值大的粒子代替），这三步构成了粒子滤波的基本算法。 SIRF(Sample Importance Resampling Filter)算法是粒子滤波的一种基本算法。(Particle filter matlab simulation program)

说明：  在求解装备的资源约束型装配线平衡单目标优化问题时，采用用matlab解决改进的遗传算法。(The single objective problem is solved with matlab language.)

说明：  DPD一些代码优化，以及优化的一些算法说明(Some code optimizations of DPD and some algorithm descriptions of optimizations)

使用起来非常方便，合成孔径雷达（SAR)目标成像仿真，有详细的注释，迭代自组织数据分析，仿真效率很高的，采用累计贡献率的方法，用于图像处理的独立分量分析。( Very convenient to use, Synthetic Aperture Radar (SAR) imaging simulation target, There are detailed notes, Iterative self-organizing data analysis, High simulation efficiency, The method of cumulative contribution rate Independent component analysis for image processing.)

基于UKF的自行车状态估计matlab程序实现(Realization of Bicycle State Estimation Based on UKF with MATLAB Program)