HoughTransfo

介绍如果使用matlab，是matlab入门者的必要学习资料(Introduction If you are using matlab, yes matlab beginners to learn the necessary information)

这是一个进行卫星轨道预报的程序。导航卫星；自主轨道预报；状态转移矩阵。无错误(This is a satellite orbit prediction program. Navigation Satellite autonomous orbit prediction state transition matrix. No error)

包括主成分分析、因子分析、贝叶斯分析，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，是机器学习的例程，基于chebyshev的水声信号分析，在MATLAB中求图像纹理特征，阐述了负荷预测的应用研究,是学习PCA特征提取的很好的学习资料，使用混沌与分形分析的例程。( Including principal component analysis, factor analysis, Bayesian analysis, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Machine learning routines, Based chebyshev underwater acoustic signal analysis, In the MATLAB image texture feature, It describes the application of load forecasting, Is a good learning materials to learn PCA feature extraction, Use Chaos and fractal analysis routines.)

说明：  最小二乘支持向量机、时间序列预测、交叉验证(time series prediction)

说明：  matlab 数值积分工具箱 MATLAB Toolbox for 1-D, 2-D, and n-D Numerical Integration(matlab numerical integration toolboz)

在通信中实现ＱＡＭ８的星座图恢复，并且附上了结果图作为参考。ＱＡＭ８的星座图是一种简单的调制方式(QAM8 achieve constellation in communication recovery, and attach the results shown as a reference. QAM8 constellation is a simple modulation)

理发店的服务过程仿真 一个理发店有两位服务员A和B顾客随机地到达该理发店,每分钟有一个顾客到达和没有顾客到达的概率均是1/2 , 其中60 的顾客理发仅用5分钟,另外40 的顾客用8分钟 . 试对前10分钟的情况进行仿真。(Service process simulation of a barber shop barber shop attendant A and B, there are two customers arrive at the barber shop randomly, every minute a customer arrives and there is no probability that the customer arrives are 1/2, where only 60 of the customers Barber five minutes, another 40 of customers with 8 minutes. trial for the first 10 minutes of the simulation.)

用均匀线阵进行DOA估计，空间平滑法，Toeplitz法，music法(With a uniform linear array DOA estimation, spatial smoothing method, Toeplitz law, music)

巴克码，P1，P2，P3，P4等多相码的模糊函数，自相关函数性能分析(Barker code, P1, P2, P3, P4 and other multi-phase code fuzzy function, autocorrelation function analysis)

基于K-means的模糊聚类分析方法，很有用的(Based on the fuzzy K-means cluster analysis, very useful)