numerucal-methods-to-solv-deff-equations

在matlab环境下绘制评估边缘检测性能的ROC曲线。(This ROC curve is a method to evaluate the performance of edge detection algorithms.)

说明：  对数字图象进行分步处理,第一步滤波, 第二步去噪,第三步显示(of digital image processing steps, the first step filtering, denoising second step, the third step display)

implementation of least mean square algorithm in matlab

对它们进行性能测试和比较，并在非线性环境下，讨论这些方法的特点，仿真实验结果表明，在非线性非高斯环境下，UPF 方 法的性能是最优的。 (bayesian filtering methods, such as EKF, UKF, PF and UPF, etc., based on these methods structure The building of the framework, of their performance test and comparison, and the nonlinear environment, discussed the characteristics of these methods, the simulation results show that the nonlinear non-gaussian environment, UPF party The performance of the method is the best. )

matlab GUI学习视频1,创建GUI界面(Matlab GUI learning video, to create a GUI interface)

3-D Finite Element Analysis (FEA) in MATLAB. This can help you to perform high fidelity modeling for applications such as structural mechanics, electrostatics, magnetostatics, conduction, heat transfer, and diffusion

adding noise and image registration

基于特征空间的稳健自适应波束形成算法。具有更好的稳健性(beamforming algorithm)

SPWM MATLAB/simulink仿真模型，希望感兴趣的同学相互交流 (SPWM MATLAB simulation program, hope that those interested in mutual exchange )

线性相关 求逐月异常序列x(n,12)和y(n,12)(n是年)的相关系数r(24)，其中j=1～12是1～12个月的情形，13～22是冬、春、夏、秋、冬季逐月、春季逐月、夏季逐月、秋季逐月、逐月、年、冬半年逐月（NDJFMA）、夏半年逐月（MJJASO）的序列的情形。(Linearly related to demand monthly abnormal sequence x (n, 12) and y (n, 12) (n is the year) the correlation coefficient r (24), where j = 1 ~ 12 1 ~ 12 months is the case, 13 22 is a winter, spring, summer, autumn and winter month by month, month by month in spring, summer, month by month, the monthly fall, month by month, year, month by month in winter (NDJFMA), summer half year monthly (MJJASO) the sequence circumstances.)