matpower3.1b

基于PWM的可控直流电源设计与实现，PWM整流电路原理图(PWM-controlled DC power supply based on the design and implementation, PWM rectifier)

说明：  动态聚类或迭代自组织数据分析算法（ISODATA）(Dynamic clustering or iterative self organizing data analysis algorithm)

huffman coding and huffman decoding

matlab数据描述工具箱，可用数据描述，可视乎以及检测(Matlab Toolbox data description, description of the available data, depending on the detection and)

光于X射线衍射成像的过采样理论，可为数值模拟提供参考。(Oversampling theory of light in X-ray diffraction imaging, can provide a reference for numerical simulation.)

合成孔径雷达的成像仿真程序，效果比较好，算法优化较好。(Synthetic aperture radar imaging simulation program, better, better optimization algorithms.)

很好的风速模型，对风力发电的出力进行研究有很大帮助。(Good wind model, the output of wind power research helps a lot.)

本资料涵盖量丰富，关联维，信息量，GP算法，熵等工具箱，并且每种问题采用的方法有好几种，便于比较。其中包含了LORENZ的一些算法。积累了本人一段时间的整理成果。(This information covers the amount of rich, correlation dimension, the amount of information, GP algorithm, entropy and so the toolbox, and the methods used for each question there are several, to facilitate comparison. Which contains a number of algorithms LORENZ. I have accumulated the collation of the results for some time.)

适当选择辅助变量，使之满足相应条件，参数估计值就可以是无偏一致。估计辅助变量法的计算量与最小二乘法相当，但辨识效果却比最小二乘法好的多。尤其当噪声是有色的，而噪声的模型结构又不好确定时，增广最小二乘法和广义最小二乘法一般都不好直接应用，因为他们需要选用特定的模型结构，而辅助变量法不需要确定噪声的模型结构，因此辅助变量法就显得更为灵活，但辅助变量法不能同时获得噪声模型的参数估计。(Choose appropriate secondary variables, meet the relevant conditions and parameter estimate can be unbiased consistent. Estimated auxiliary variable method calculation and least square method is quite, but the identification effect is much better than the least square method. Especially when the noise is colored, and noise model structure and not sure, augmented the least squares and the generalized least squares method is generally not used directly, because they need to choose specific model structure, and auxiliary variable method does not need to make sure that noise model structure, so the auxiliary variable method is more agile, but not at the same time auxiliary variable method for noise model parameter estimation.)

此程序实现了一种自适应算法，并详细分析了其实现过程(This procedure has realized one auto-adapted algorithm, and multianalysis its realization process )