inversion

毕业设计做的...用LBG算法实现矢量量化的算法..matlab(Designed to do graduate ... the LBG algorithm using vector quantization algorithm .. matlab)

This is a file for alphabet recognition as for accident with matlab

PV_MPPT 很好的光伏最大功率跟踪控制(PV_MPPT good photovoltaic maximum power tracking control)

5次多项式插值，用于机器人轨迹规划，是初学者很好的例子，有助于理解机器人的运动表达，及其轨迹规划的概念(5 times polynomial interpolation, used in robot trajectory planning，Is a good example of the novice, help to understand the movement of the robot, and the concept of trajectory planning)

VSI图像质量评价之live数据库的MATLAB代码及结果分数矩阵(MATLAB code and result matrix of live database for VSI image quality assessment.)

说明：  微电网仿真模型，可以完美运行，包含多个分布式电源(Microgrid simulation model)

几种自适应滤波器算法(several algorithm about adaptive signal processing)

Lattice Boltzmann LBE模型在二维多孔介质流体渗流中的应用，基于geometry: D2Q9, model: BGK(Simple, yet simplistic, Lattice Boltzmann (LB) MATLAB implementation. D2H9, BGK, omega = 1, laminar flow in a 2D channel used as benchmark. Requires Image Processing Toolbox. )

CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet Transform in two and three dimensions. For the 2d curvelet transform, the software package includes two distinct implementations: the wrapping-based transform and the transform using unequally-spaced fast Fourier trans- form (USFFT). Both variants are based on the Curvelet transform as described in ‘New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin- gularities’, Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also discussed in detail in ‘Fast Discrete Curvelet Transforms’, Multiscale Model. Simul. 5 (2006), no. 3, 861-899. We advise users to become familiar with these references. The two implementations diff er by the choice of spatial grid used to translate curvelets at each scale and angle.(CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet Transform in two and three dimensions. For the 2d curvelet transform, the software package includes two distinct implementations: the wrapping-based transform and the transform using unequally-spaced fast Fourier trans- form (USFFT). Both variants are based on the Curvelet transform as described in ' New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin-gularities' , Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also discussed in detail in ' Fast Discrete Curvelet Transforms' , Multiscale Model. Simul. 5 (2006), no. 3, 861-899. We advise users to become familiar with these references. The two implementations differ by the choice of spatial grid used to translate curvelets at each scale and angle.)

均值向量的编程的学习算法 通过这个算法可以变成处理图片的跟踪(Mean Vector learning algorithm programming algorithm can be turned through this track with pictures)