mcr1

利用matlab模擬IS95AReverseTransmitter的狀況(using Matlab simulation of the situation IS95AReverseTransmitter)

DefaultCorpusRanker extends AbstractCorpusRanker.

说明：  可以通过画出傅里叶级数圆的动画，帮助加深对傅里叶级数的理解，并且有详细的注释。(By drawing the Fourier series circle animation, we can help deepen the understanding of Fourier series, and have detailed annotations.)

重要参数的提取，粒子图像分割及匹配均为自行编制的子例程，基于分段非线性权重值的Pso算法，基于matlab GUI界面设计,有较好的参考价值，使用混沌与分形分析的例程。

三次TC-Bezier曲线的拼接以及双三次TC-Bezier曲面拼接。(Three TC-Bezier Curves and Bicubic TC-Bezier Surfaces.)

本程序是用matlab实现的对样本视频处理,本视频是用于识别羽毛球拍的运动轨迹，经检测，实现完好。(This procedure is implemented by matlab sample video processing, the video is used to identify the racket trajectory, after testing, to achieve well.)

ABS function to solve the velosity of the vehicle vs the velosity of the wheels System will automatically delete the directory of debug and release, so please do not put files on these two directory.

关于基础PIDmatlab仿真的源码，适合基础学习。(About source basis PIDmatlab simulation, suitable for basic learning.)

拟牛顿法和最速下降法(Steepest Descent Methods)一样只要求每一步迭代时知道目标函数的梯度。通过测量梯度的变化，构造一个目标函数的模型使之足以产生超线性收敛性。这类方法大大优于最速下降法，尤其对于困难的问题。另外，因为拟牛顿法不需要二阶导数的信息，所以有时比牛顿法(Newton s Method)更为有效。如今，优化软件中包含了大量的拟牛顿算法用来解决无约束，约束，和大规模的优化问题。(The quasi-Newton method and the Steepest Descent Methods only require that each step iterations know the gradient of the objective function. By measuring the change of the gradient, constructing a model of the objective function is sufficient to produce superlinear convergence. This method is much better than the steepest descent method, especially for difficult problems. In addition, because the quasi-Newton method does not require information on the second derivative, it is sometimes more effective than the Newton s Method. Today, the optimization software contains a large number of quasi-Newton algorithm used to solve the unconstrained, constraint, and large-scale optimization problems.)

This file is used for generate OVSF code in Matlab. Check this and enjoy using it