waterfilling

基于基追踪（basis pursuit）对信号进行稀疏表示的算法(signal decomposition by basis pursuit...)

matlab fir LPF least square error with zeroa weighted

说明：  能实现孤岛检测，功能良好，能具体完成项目的内容，十分梁海阿松大(can achieve islanding detecting)

this is a diagram in parks transformation

输入信号为方波信号+高斯白噪声，方波信号基 频为1kHz，幅值为1，高斯白噪声方差为0.2， 均值为0，采样频率为20kHz。试用周期图法和 ARMA谱估计法(SVD-TLS)估计此信号的功率 谱，并分析比较其结果(The input signal is a square wave signal+ Gaussian white noise, square wave signal fundamental frequency 1kHz, amplitude is a Gaussian white noise variance is 0.2, the mean is 0, the sampling frequency is 20kHz. Try periodogram and ARMA spectral estimation method (SVD-TLS) estimate the power spectrum of this signal, and the analysis and comparison of the results)

常用matlab遗传算法目标函数的编写实例，如：双积分优化，收获系统，装载系统等(Matlab genetic algorithm commonly used objective function of the preparation of examples, such as: double-integrating optimization, harvest systems, loading systems, etc.)

说明：  运动估计代码.里面有源图像和运行结果.对写论文应该有帮助(motion estimation code. Active inside images and results of operations. Papers should be written to help)

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.)

说明：  推荐系统 数据挖掘 数据分析 机器学习 代码(re_sys data mining analysis ml code)

this file contains my project