3d

MATLAB数值计算，matlab实现，与《matlab数值计算》一书配套使用。(MATLAB numerical calculation, matlab realize, with " matlab numerical calculation," a book supporting the use of.)

对串口所获得的输入体感信息（x,y,z以及物体移动的角速度）进行捕获，并针对该信息进行3D画图，使得用户晃动传感器时，电脑的matlab界面出现相应的动态画面。(Somatosensory information (x, y, z and the angular velocity of moving objects) the obtained input to the serial port to capture and 3D drawing, and for the information, so that the user shake sensor, the computer' s Matlab interface appears corresponding dynamic screen.)

In this session, I will focus on the gridding method for fast image reconstruction from non- Cartesian data [1-5]. While gridding is not the only game in town, it is the reconstruction of choice when reconstruction time is an issue. Other reconstruction techniques include rBURS [6] and non-Cartesian iterative methods [7,8]. Non-Cartesian iterative methods generally use gridding and inverse gridding as their core operation, so even when gridding is not the right solution for an application, an understanding of gridding can be useful. I will cover the main steps of the gridding algorithm and then discuss some implementation tips that can signicantly reduce the computation time. Finally, I will present some illustrations and viewpoints that I have found to aid in an intuitive understanding of the gridding method, which can be helpful when designing the density compensation function and judging the appropriateness of gridding as a solution for a particular application.

An implementation of "A min cut algorithm" by Stoer and Wagner. In addition there is an option to find the minimal cut that does not separate a set of vertices. This is not a mincut-maxflow algorithm.

用matlab编写的平方根容积卡尔曼滤波器，经试验验证可用，(The square root volume using matlab Kalman filter, the experimental verification is available,)

using Graphics in MatLab 02 a

matlab,的LDPC码译码,matlab实现(LDPC code)

说明：  用MATLAB实现了多相滤波器的仿真(Using MATLAB realize the polyphase filter simulation)

Viterbi 编解码算法仿真实现，回环调试成功！(Viterbi coder and decoder matlab code)

ionosphere problem solving