pls

说明：  本程序给出了qpsk调制的源码程序，具有一定的参考价值( this program shows the qpsk modulation,from this program we can understand the process of qpsk modulation more .)

说明：  介绍matlab的安装以及基本功能的使用，对于初学者有很大的帮助。也叫matlab宝典。(Describes the basic functions of matlab installation and use of great help for beginners. Also called matlab Collection.)

Windows Local heap class

绘制序列及其傅里叶变换的幅值图，并求逆变换。一个matlab程序。(Draw sequences and Fourier amplitude figure, and pray for inverter change. A matlab application. )

MAF小程序，对初学者有一定帮助。MATLAB编写(MRF MATLAB)

这是一个关于直线拟合的matlab程序，绝对原创(Linear fitting)

隐半马尔科夫模型matlab算法,改进的隐马尔可夫模型，增加了状态停留时间(hidden semi-markvo model Add state duration)

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 )

indirect field oriented control

以matlab为开发环境实现ID3算法,包括分类预测，建树等。(ID3 agorithm basis on matlab)