demo_OceanOptics

matlab在信号处理中的应用,有很多例子(matlab signal processing applications, there are many examples)

说明：  多种算法实现路径规划，可以进行相互间的比较(Various algorithms can realize path planning and compare with each other)

小波消噪算法我用的小波消噪算法我用的小波消噪算法我用的(Wavelet denoising method I use)

内点罚函数法，求解最优化问题规划，适用于mantlb程序(Interior point penalty function method for solving optimization problems planning procedures applicable to mantlb)

说明：  对ask fsk用matlab写出 并有图像(that is a good thing)

基于matlab的4种梯度算子，Sobel Operator、Laplacian Operator、Prewitt Operator等等(Matlab based on the four kinds of gradient operator)

说明：  新能源汽车设计和控制，开发该算法，可以解决汽车能量回收问题。(And new energy vehicle design and control)

Basic MATLAB Training

通过.m文件来实现SVPWM，引用于光伏并网中(. M files SVPWM, referenced in the photovoltaic grid)

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.