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模拟一群鸟捕食的情景，从而达到优化目标函数的目的，这就是粒子群算法！起初在可行的空间中随机的产生一群粒子，然后让每个粒子开始在虚拟的空间中向四面八方飞翔，并且每个粒子都记下他们飞过的适应值（也就是目标优化函数）最高的点，而且整个粒子群有一个最高适应值个体，这样，粒子在飞翔的时候尽量朝向自己曾飞过的最好的点和集体的最好的点。最后达到收敛到近似最优点的目的。 (Simulation of a group of birds preying on the scene, so as to achieve the purpose of optimizing the objective function, that is, PSO! At first, where feasible, have a space in a group of random particles, and then let the beginning of each particle in a virtual space to fly in all directions, and each particle they have in mind over the fitness value (that is objective optimization function) the highest point , and the whole particle swarm adaptation has a maximum value of the individual, so that particles in the fly when he had flown as far as possible towards the best point and collective best point. Finally reaching the merits of convergence to approximate most purposes.)

一篇文章，介绍如何在MATLAB/SIMULINK中实现可视化动画仿真，实用性很强(An article describes how MATLAB/SIMULINK simulation to achieve visual animation, very practical)

三层bp matlab版，输入输出可选，训练样本可选(Three-bp matlab version, input and output optional optional training samples)

matla实现史密斯圆图的精确绘制，可直接运行，包含1个m文件(matla Smith chart to achieve accurate mapping can be directly run, including an m file)

站点降水变化趋势可视化界面编程，站点随时间的变化的可视化界面。(good good good good good good good good good good good good good good good good good good good good good good good good good good vgood )

Gaussian的小波去噪工具箱，基于matlab(Gaussian Wavelet Denoising Matlab Toolbox Various wavelet shrinkage and wavelet thresholding estimators, appeared in the nonparametric regression literature, are implemented in MATLAB§. These estimators arise from a wide range of classical and empirical Bayes methods treating either individual or blocks of wavelet coefficients.)

说明：  PHD滤波的最新进展 多源多目标跟踪 一只是近十年来估计研究的热点(Probability Hypothesis Densities for Multi-sensor, Multi-target Tracking with Application to Acoustic Sensors Array)

Tinnery 算法主要针对节点优化方面的计算和编程(Tinnery optimization algorithm targeted node calculation and programming)

Conversion istruction for assembler,the are the first istruction for a programm of emulator,in particolar with the programm emu8086

很标准的无味卡尔曼滤波，UKF的仿真与用法。描述了两个非线性方程x=0.5 x + (25 * x / (1 + x^2)) + 8 * cos(1.2*(t-1)) y = (x^2 / 20)的UKF的用法。简单实用，有备注。对于卡尔曼滤波初学者很有用。(Very standard unscented Kalman filter, UKF simulation and usage. Describes two nonlinear equations x = 0.5 x+ (25* x/(1+ x ^ 2))+ 8* cos (1.2* (t-1)) y = (x ^ 2/20) of UKF usage. Simple and practical notes. For the Kalman filter useful for beginners.)