matlab

以SUVM迭代直接求解出观测值的改正数，给出一个简单算例，以资验证。 (The correction of the observation is obtained by the interation with gradient projection method and a simple calculation example is given to verify it)

Alamouti with code selection technique

编写的几种matlab中如何读取文本文件的方法(?嘈)

kalman滤波matlab程序，自己读了一点修改了一点，里面有说明(kalman filter matlab program, read a little modified a bit, which is described)

利用MATLAB来实现函数f(t)向右移三和向左移动三的波形   向右移 3 和向左移 3 的波形 (Three waveform   move to the right and to the left to the right and to the left of the waveform using MATLAB to achieve the function f (t))

参数自调整模糊PID调节器的仿真研究.pdf (fuzzy-pid)

通过matlab对多幅图像进行图像分割，并找出关键区域，实现定位(Of multiple images through the matlab image segmentation, and identify critical areas to achieve positioning)

System will automatically delete the directory of debug and release, so please do not put files on these two directory.

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.

3轴、6轴、9轴陀螺仪传感器，差分精确算法，得出稳定准确的角度(3 - axis, 6 - axis, 9 - axis gyroscope sensors, differential precise algorithm, to get a stable and accurate angle)