SPT

说明：  电力系统潮流的计算机辅助分析 本课题要求对一14节点的电力系统分别使用MATLAB和PSASP软件进行潮流计算及分析，其具体要求如下： 1）用MATLAB实现对该系统的潮流计算。需要MATLAB语言编制程序形成节点导纳矩阵、形成雅克比矩阵、用高斯消去法解修正方程式，并编写输出程序用以输出节点导纳矩阵、节点电压（包括电压的相角和幅值）、以及各支路的首端功率、末端功率和功率损耗，然后调式并在MATLAB运行环境下运行程序输出结果，再将结果制成表格。(Computer Aided Analysis of Power Flow)

自适应学习字典代码：训练字典的MATLAB仿真程序，能够很好的认识字典训练事例 (Adaptive learning dictionary code: dictionary MATLAB simulation training, can very good dictionary training examples )

rls神经网络模型在matlab中的程序实现(rls neural network model in matlab program to achieve)

基于最小二乘的matlab的wsn的节点算法源程序。用三角测距原理(Based on least-squares algorithm matlab source of wsn nodes. Ranging triangular theory)

本软件是时变的VAR模型，能够考察变量间的冲击效应，及其结构变化特征，是较为理想的时间序列工具。(This software is a time-varying VAR model is able to examine, impact effect among the variables, and structural changes, is the ideal time series tools.)

绘制中国地图，并根据站点位置信息标注站点。(Draw a map of China, and marked according to the site location information site.)

Multidomaine radar simulation using matlab

波数域算法又称为距离徙动算法（Range Migration Algorithm，RMA）或-算法，由Cafforio等提出。该算法分析距离处理后信号的二维频谱，通过二维频域匹配滤波进行相位补偿，在完成方位聚焦的同时完全校正距离徙动。由于其中的Stolt变换能克服SAR信号中距离徙动和SRC对斜距的依赖，因此波数域算法是一种理想的成像算法，尤其在处理大斜视角和长合成孔径的SAR数据时。但Stolt变换需要插值，降低了处理效率并引入额外的误差。(The wavenumber domain Algorithm is also called Range Migration Algorithm (RMA) or -algorithm, which is proposed by Cafforio et al.The algorithm analyzes the 2-d spectrum of the signal after the distance processing, carries out phase compensation through the 2-d frequency domain matching filter, and completely corrects the distance migration while completing the azimuth focusing.Because the Stolt transform can overcome the SAR signal range cell migration and SRC dependence on oblique distance, thus wavenumber domain algorithm is an ideal imaging algorithm, especially when dealing with large squint Angle and long synthetic aperture of SAR data.But Stolt transformation requires interpolation, reduces processing efficiency and introduces additional errors.)

pca算法，有详细注释，通过光谱区分苹果酸甜度，对于想学习pca算法的初学者，有很大帮助(pca algorithm, detailed notes, by spectroscopic distinguish sour apple degree, want to learn pca algorithm for beginners, there are a great help)

网上复制了一个BP预测的程序自己改了一下，效果不是很好。 P 和T都是往期的数据(Online copy of a program his BP forecast changed a bit, the effect is not very good. P and T are the data to the period)