matlab-suoshuwenzifenge

MATLAB Basic, Entering Matrices, Transpose, Subscripts, The Colon Operator, operation

基于MATLAB的AR模型的仿真，并分析功率谱，比较好。可以运行(AR model based on MATLAB simulation, and analysis of the power spectrum, the better. You can run)

Simulated annealing using the Metropolis criterion for TSP

permanent magnet synchronous generator

说明：  一类基于奇异值分解的Lyapunov指数计算方法

求解非线性最化的局部最优解,matlab,matlab例程(Most of solving nonlinear partial optimal solution, matlab, matlab routines)

多种概率分布的拟合函数集合 本算法包括最大似然估计，最小二乘估计，基于EM算法的多种混合高斯分布估计，EM算法测试实例，绘制每种分布的plot函数。非常有参考价值！(Fitting a wide range of probability distribution functions including the collection of this algorithm maximum likelihood estimation, least squares estimation, based on the EM algorithm estimate a mixture Gaussian distribution, EM algorithm for the test examples, each mapping the distribution of the plot function. Have reference value is!)

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.)

MATLAB7.0的基础教程孙祥编着，适合初学者(MATLAB7.0 Essentials the Sun Xiang ed, for beginners)

曲线之美 贝赛尔曲线 matlab实现 (beauty of the curve bezier curve )