AHPcourse

基于MATLAB的实现智能天线的LMS算法(MATLAB-based implementation of the LMS algorithm for smart antenna)

采用雷克子波的地震波正演seismodelseismodel.m雷克子波的地震波正演(Lei Kezi wave seismic forward)

Matlab环境下 纽阶堡（Neugebauer）分色算法。(Matlab environment Neugebauer color separation algorithm.)

实现通信系统里面的最基本的几个功能函数，如卷积，DTF，IDFT，已及模拟调制。(Communication systems to achieve a few basic functions inside a function, such as convolution, DTF, IDFT, has been and analog modulation.)

读取国产雷达（中国矿业大学）数据，数据格式为dat(Read the domestic radar (China University of Mining) data, data format for dat)

zooming & shrinking matlab code

永磁同步电机的模糊PI控制，采用双闭环控制(Fuzzy PI control of permanent magnet synchronous motor)

用matlab实现三维情况下波的传播仿真，带有PEC边界.！(realize the propogation of electromagnetic under 3-D situation，with respect to the perfect electronic condutor.)

优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。(first expounds the recent application research of load forecasting, summarized the characteristics of load forecasting and influencing factors, summed up common methods of short-term load forecasting, and analyzed the advantages and disadvantages of each method then introduced statistical learning theory and the principle of SVM as the basis of support vector machine (SVM ) theory, SVM regression model is derived this paper adopted least squares support vector machine (LSSVM) model, according to the historical load data and meteorological data of a certain area of Zhejiang Taizhou, Analysised the various factors affecting the forecast, summed up the regularity of load change , amended "outliers" in the historical load data,the load forecasting factors to be considered were normalized. The two parameters of LSSVM have a significant impact on the model, but it is still soluted based on the experience currently. So, this paper adopted particle swarm optimization algorithm to optimized )

constancy gui using white patch