fldc_d_4_as

说明：  第三章 MATLAB 图形对象 3.1 图形对象 3.1.1 Root 对象 3.1.2 Figure 对象 3.1.3 Uicontrol 对象 3.1.4 Uimenu 对象 3.1.5 Axes 对象 3.1.6 Image 对象 3.1.7 Line 对象 3.1.8 Patch 对象 3.1.9 Rectangle 对象 3.1.10 Surface 对象 3.1.11 Light 对象 3.1.12 Text 对象 (Chapter III of MATLAB graphic objects 3.1 graphic object 3.1.1 Root object 3.1.2 Figure object 3.1.3 Uicontrol object 3.1.4 Uimenu object 3.1.5 Axes Object 3.1.6 Image Object 3.1.7 Line object 3.1.8 Patch Object 3.1. 9 Rectangle object 3.1.10 Surface Object 3.1.11 Light Object 3.1.12 Text Object)

应用ADI方法对海洋原始方程组数值离散，再在理想湖泊的假设前提下，结合物理海洋学，有限差分法，利用MATLAB数学软件，进行三维数值模拟，以期对海洋数值模式做出最基础的实现，并从动力机制上分析，验证其模拟结果的近似准确性。( ADI method is applied to Marine primitive equations, numerical discrete, again under the ideal assumptions of lakes, combining with the physical oceanography, finite difference method, using mathematical software MATLAB, the 3-d numerical simulation of the ocean numerical patterns in order to make the most basic implementation, and from the analysis on dynamic mechanism, simulation results verify its approximation accuracy. )

用matlab来做一个三维模型，包括两个部分： 1.长方体 2.很多个半径（远小于长方体边）很小的球体随机分布在长方体中。(Using MATLAB to make a three-dimensional model, including two parts: 1. a rectangular cube with a lot of radius (which is far smaller than the side of a rectangular body) and a small sphere is randomly distributed in a rectangular body.)

this program is based on matlab platform for humming cacellation

商标文字分割 matlab 实现 保证可用(Matlab implementation to ensure that trademarks can be split text)

函数查找最小边的权重匹配给出的M×N的边缘 使用匈牙利算法权重矩阵的权重 A function for finding a minimum edge weight matching given a MxN Edge weight matrix WEIGHTS using the Hungarian Algorithm. ( A function for finding a minimum edge weight matching given a MxN Edge weight matrix WEIGHTS using the Hungarian Algorithm. )

my other project cdma

digital signal processing

应用程序 偏最小二乘法回归分析 pls matlab(application partial least squares regression analysis pls Matlab)

Traditional optical flow technique that developed by Lucas and Kanade was improved with the optimized variable setting. It is quite simple and also helpful.