05615893_yyouxian

Matlab code for COST207 channel

Performs Short Time Fourier Transform

that is Matlab code for GLM and LASSO, enjoy it!

说明：  概率潮流使用matpower编写程序的基本步骤(The basic steps of probabilistic power flow by using matpower to write programs)

97提升小波变换的MATLAB程序，对初学者有帮助。(97 lifting wavelet transform MATLAB procedures helpful for beginners.)

信道编码仿真用matlab实现的北邮小学期(Channel coding simulation using matlab to achieve the primary period BUPT)

关于空间计量模型，其中包括空间滞后、空间误差、空间杜宾(study about spatial econometric models)

1 通过实验，掌握多元正态分布的最大似然估计； 2 掌握多元正态分布下的最小错误率的贝叶斯分类； 3 对其他的参数估计有更深的认识。 (1 experiment, master multivariate normal distribution maximum likelihood estimation 2 multivariate normal distribution under the minimum control error rate Bayesian classifier 3 on the other have a better understanding of parameter estimation.)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

Matlab常用命令大全,方便用户查询使用(all the command of MATLAB, quiry the command in it)