PatternRecognitionTask

programme describing jpeg

说明：  machine vision 工具箱，一直都在用，做机器视觉参考(machine vision toolkit has been used, so machine vision reference)

用卡尔曼滤波实现运动目标的跟踪。可用自己的视频，实验效果良好。(Achieved with the Kalman filter to track moving objects. Use their own video, experimental results well.)

artoolkit中文教程，包括开发原则，例子程序讲解，新建maker，多模板等几个部分(failed to translate)

Lazsvd矩阵的SVD分解，MATLAB程序。(SVD decomposition of Lazsvd matrix)

article about idma research

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)

说明：  利用matlab的BVP4C程序包求解波动方程，得到电场和电子密度的二维分布。(The BVP4C package using matlab solving the wave equation, two-dimensional electric field and electron density distribution.)

kalman滤波 用于电池SOC上的算法(kalman filter algorithm for battery SOC on)

用于计算流体力学中五类黎曼间断问题数值模拟(Program Used for five kind of Riemann problem in CFD)