matlabusefulexamples1

用Matlab编写的求解高斯线型随机差分方程的离散扩展卡尔曼滤波程序。(Matlab prepared for the linear Gaussian stochastic differential equation expansion of discrete Kalman filter procedures.)

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.

matlab求解两点边值问题的常微分方程组。追赶法求解。(chasing method for solving ODE bvps)

LEM-3D-MATLAB,不错的代码，希望有所帮助(Lattice Boltzmann Method )

另一个ＬＥＡＣＨ算法的ＭＡＴＬＡＢ仿真源代码程序(Another LEACH algorithm MATLAB simulation program source code)

噪声对消源程序，大家可以借鉴一下，还是比较容易看懂(noise cancellation source, we can learn from this, is still relatively easy to understand)

Draw a circle on the current axis

应用Simulink搭建双储水槽系统，同时引入外部干扰进而可进行系统的模型辨识。(Application of Simulink to build dual storage tank system, while the introduction of external interference and thus available for model identification system.)

同步变化的学习因子的粒子群算法，学习因子不为固定的常数(LnCPSO)

说明：  简单的预测与案例教程，适合初学者用于学习预测原理和简单的matlab代码(failed to translate)