OpenTSTOOL

matlab最速下降法，简单的求二次函数的hesse矩阵(steep decent method)

Simulation Digital communication by using matlab

squrt prediction error and data base of waste paper plant and spe limit

Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (LARS) and elastic net (LARS-EN) regression. There also exists a method for calculating principal components with sparse loadings. This software package contains Matlab implementations of these functions. The standard implementations of these functions are available as add-on packages in S-Plus and R. Keywords LASSO, LARS, SPCA, Matlab, Elastic Net, Sparse, Sparsity, Variable selection

在MATLAB环境下实现参数估计的傻瓜式操作(Implementation in MATLAB environment parameter estimation operation of a fool)

卡尔曼滤波在目标跟踪的应用，Matlab环境的代码(Kalman filtering in target tracking applications, Matlab code for the environment)

用matlab实现灰色序列残差预测模型GM（1，1）(Using matlab realize residual sequence gray prediction model GM (1,1))

PFC电路仿真，分析器各个工作模态和各种关键波形(PFCModal, and a variety of key waveforms of the PFC circuit simulation, analyzer work)

六十四QAM调制解调器，实现星座映射解映射(64QAM encoder)

适于40节点的电力系统潮流计算，收敛性较好。(failed to translate)