wimax.mdl

支持向量机matlab代码,用于分类和拟合(programme in matlab)

SVM回归，用于实现支持向量机（SVM ）回归拟合的问题。可以用来做一些短期的预测，如短期负荷预测。(svm regression, used to implement support vector machine (SVM ) Regression fitting problems. Can be used to do some short-term forecasts, such as short-term load forecasting.)

相控阵-MIMO雷达仿真MATLAB程序(phased-MIMO radar MATLAB code)

基于MATLAB/S-函数三相异步电机的建模与仿真 (Based on MATLAB/S- function of three-phase asynchronous motor modeling and simulation )

matlab 图形绘制功能，在直角坐标系或极坐标系下绘制二维和三维图形(Matlab graphics functions in the rectangular coordinate system or polar coordinates draw 2 d and 3 d graphics)

应用变量变化模拟非线性方程组均衡过程，其中参数可变，方程组可变，方程组的解用各种图像表示(Variable changes apply equalization process simulation of nonlinear equations, where the parameter variable, variable equations, solution of equations represented by the various images)

matlab经典算法，规划问题，包括优化问题实验(matlab classic algorithms, planning issues, including the optimization of experimental)

说明：  LTE-A中的AF和DF中继研究，比较有用(LTE-A in the AF and DF relaying research, more useful)

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)

关于细胞边缘检测以及识别的MATLAB程序。 希望对您有所帮助！(On the cell edge detection and identification of the MATLAB program. I hope for your help!)