I2C_read_block_for_ArduinoIO_package

LMS的一个好算法，你可以自己动手。仿真通信系统，让你收益。好东西大家一起分享(LMS is a good algorithm, you can do-it-yourself. Simulation of communication systems, allows you the proceeds. Good things share with everyone)

最优潮流 基于matlab 经过测试 可以使用(OPF has been tested can be used based on matlab)

In computing, a mouse is a pointing device that functions by detecting two-dimensional motion relative to its supporting surface. Physically, a mouse consists of an object held under one of the user s hands, with one or more buttons.The mouse sometimes features other elements, such as wheels , which allow the user to perform various system-dependent operations, or extra buttons or features that can add more control or dimensional input. The mouse s motion typically translates into the motion of a pointer on a display, which allows for fine control of a graphical user interface.

matlab实现的目标跟踪数据关联程序，可以用于目标跟踪领域。(matlab implementation of target tracking data association procedure can be used for target tracking.)

disc and cup segmentation

针对多椭圆检测问题提出了一种快速随机检测算法。该算法利用在图像中随机采样到的一个边缘点和 局部搜索到的两个边缘点以及这三个点的邻域信息确定候选椭圆,再将候选椭圆变换为对应圆,通过确认真圆来确 认真椭圆。在确定候选椭圆时,最大限度地减少随机采样点数‰ 剔除更多的非椭圆点,降低了无效采样,减少了无效 计算。数值实验结果表明:该算法具有良好的鲁棒性,其检测速度比同类算法快(Ellipse detection problem for many a fast random detection algorithm. The algorithm uses random sampling in the image of an edge point and the local search to the two edge points, as well as the three-point neighborhood information to determine the candidate ellipse, and then transformed into the corresponding elliptical candidate won, through the identification of real yen to confirm really elliptical. In determining when a candidate ellipse, to minimize random sampling points ‰ remove more non-oval points, reducing invalid sampling, to reduce the calculation invalid. Numerical experimental results show that: the algorithm has good robustness, and its detection faster than similar algorithms quickly)

利用快速傅里叶变换求两幅图像的相关。matlab源码。(Using fast Fourier transforms of two images related. matlab source code.)

用MATLAB中SDE框架实现各维度的随机步走(In this demo we use the SDE framework in the Econometrics Toolbox to implement various random walks. )

讲基于q学习的应用的相关文献，不错的学习例子(Q learning about the application based on the literature, examples of good learning)

Disparity Map computation by Local correspondence search SAD, SSD and NCC. RMS error between the groundtruth and computed disparity map.