numerical_integration

OFDM的完整仿真，其中仿真了OFDM的波形，有完整的D/A转换，还有详细的解释(Complete OFDM simulation)

matlab code for BuckBoost Converter

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.)

很好的遗传算法，可用以分配冗余时间，很好的消除列车之间的干扰(Good genetic algorithm can be used to allocate redundant time, good to eliminate interference between trains)

说明：  遗传算法 求解单目标问题，采用二进制编码（matlab)(using genetic algorithm to optimize Single-objective function)

说明：  matlab关于ofdm系统的调制与解调程序(matlabofdm modulation)

image processing S7_morphological_filtering

说明：  电力系统潮流计算，基于内点法的最优潮流计算(Power flow calculation of power system)

这是邮局选址的经典答案。数学建模的 太强大了啊啊啊啊啊啊啊啊啊(This is the site of the classic post the answer. Mathematical modeling ah ah ah ah ah ah too strong ah ah ah)

在matlab实现，用遗传算法计算最短路径。很好用。不错，分享下了！(GA)