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This MATLAB code is an example of how to train the GCRF model described in "Learning Gaussian Conditional Random Fields for Low-Level Vision" by M.F. Tappen, C. Liu, E.H. Adelson, and W.T. Freeman in CVPR 2007. If you use this code in your research, please cite this paper

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说明：  实现了非均匀采样线性调频信号的精确重建，主要分为两部分：实现对线性调频信号的非均匀采样；非均匀采样重建。(A perfect reconstruction algrithm for non-uniform sampling LFM signals.)

绘制人脸，通过几个圆组合出人脸、人眼等部位，然后构造动画(Draw a face to face, the human eye and other parts by several round combination, and then construct the animation)

用matlab做的图像配准程序，可以实现图像配准(Image registration )

系统辨识及其matlab仿真(一些噪声和辨识算法),对于常用的方法都有介绍(System identification matlab simulation (noise and identification algorithm), commonly used methods are described)

PDEPLOT 通用偏微分方程工具箱功能。(Toolbox PDEPLOT common feature of partial differential equations.)

QPSK经过高斯信道和瑞利信道的matlab仿真，比较了各自的误码性能，文档非原创发布(QPSK After the gauss channel and Rayleigh channel matlab simulation, comparing the respective error performance of non-original release of the document)

基于music算法的均匀圆阵方向估计，算法测试好用，可以下载(Uniform circular array direction estimation based on music algorithm. The algorithm is tested well and can be downloaded.)

永磁同步电机矢量控制,稍微欠缺,速度跟踪不是很好，一起交流(Permanent magnet synchronous motor vector control, a little lack of speed tracking is not very good, with the exchange)