matlabfzkj

Photovoltaic (PV) or solar energy is expected to be one of the most important

1、LorenzData.mat - Lorenz 离散序列的数据文件，5000个点，内有变量：x,y,z 2、Volterra_main_luzhenbo.m - Volterra自适应预测主文件 3、Volterra_train.m - Volterra自适应预测训练部分 4、Volterra_test.m - Volterra自适应预测测试部分 5、PhaSpaRecon.m -混沌序列的相空间重构 6、TrainTestSample.m -相空间中点的轨迹分解成：训练样本与测试样本 7、PhaSpa2VoltCoef.m -由相空间构造 Volterra 自适应 FIR 滤波器的输入信号矢量 Un 8、FIR_MSE.c - 自适应滤波MSE算法，在matlab命令窗口中用：mex FIR_MSE.c 进行编译 9、FIR_MSE.dll - mex FIR_MSE.c 命令编译生成的动态链接文件(lorenzMATLAB simulation and analysis of system dynamics behavior, MATLAB simulation and analysis of system dynamics behavior)

最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。 (Least-squares method (also known as least squares) is a mathematical optimization techniques. It does this by minimizing the square error of the data and find the best match function. The least square method can easily obtain the unknown data, and makes these data and the actual data obtained between the square and the smallest error. Least-squares curve fitting method can also be used. Other optimization problems can be maximized by minimizing the energy or entropy of the least square method to express. )

说明：  helps to classify and segment the given signal using Markov models

基于分块稀疏的压缩感知恢复算法的论文，并有一个简单的压缩感知的恢复实例(Compression based on block sparse the perceived recovery algorithm papers, and a simple compressed sensing recovery instance)

粒子群算法与DVHOP算法的结合，有结果图(Combined with particle swarm optimization algorithm and DVHOP have results in Fig.)

Provides an implementation of AttributeSet on top of an XmlPullParser.

equilibrium matrix for markov chain

显示一张图，point spread function of 1 scatter，需要matlab安装Filed II simulation(show a picture of point spread function of 1 scatter )

一个基于jakes模型的瑞利衰弱频道的matlab程序，很好用。(A jakes model based on Rayleigh fading channel C++ program, easy to use.)