power-flow

dtw的matlab源码 经试验好用 在matlab下(dtw' s matlab source)

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.)

The library of linear classifier

MATLAB GUI教学视频2：设置GUI窗口尺寸可调(MATLAB GUI instruction video 2: Set the GUI window size adjustable)

introduction to water level control system

基于粒子群优化算法和BP神经网络的混合算法，用于求解复杂问题！(The hybrid algorithm of particle swarm optimization algorithm based on BP neural network and, for complex problem solving! )

triivium implementation

用IGBT元器件进行的三相全控整流桥的仿真电路(Components used for the three-phase IGBT full bridge controlled rectifier circuit simulation)

MATLAB经典函数参考教程MATLAB function reference tutorial Classic(MATLAB function reference tutorial classic MATLAB function reference tutorial Classic)

matlab code log MLE extreme values