windgen

robust controle of distilaton column

关于矩阵的一些运算,大家可以参考一下,(Some calculations on the matrix, we can refer to,)

说明：  Remez滤波，BPSK复合基带信号仿真，载波生成器!(Designed to meet the following indicators, such as ripple linear phase FIR low-pass filter)

ofdm channel estimation based on pilot symbols

PMSM的向量控制系统，仿真环境matlab7.55/simulink ，经测试可直接使用。 (PMSM vector control system, simulation environment matlab7.55/simulink, has been tested and can be used directly.)

地震褶积模型，最简单的抛物线，可以在修改增加内容(seismic conv models)

采用粒子群算法结合MATPOWER对GARVER-6配电网系统进行交流潮流计算并进行网架规划(AC power flow calculation and grid planning for GARVER-6 distribution system using particle swarm optimization and MATPOWER)

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.)

有向无环图程序，程序较为简洁，包含代码和简要说明。(Directed acyclic graph procedure is relatively simple, containing code and a brief description.)

三次样条插值，它是数学上的插值基础算法之一。(Cubic spline interpolation, which is the mathematical interpolation algorithm based on one.)