DWRR

介绍了卡尔曼滤波器的原理，附带了卡尔曼滤波器的m程序(Introduced the principle of the Kalman filter, Kalman filter with a program of m)

VC调用matlab工具箱函数进行图像处理编程(Visual C++ and matlab mixed programmimg )

用于盲源信号分离,可以将源信号通过混合矩阵进行混合，通过求解分离矩阵，实现源信号的分离。(Using ICA algorithm to solve blind source separation problems,this procedure can separate the source commendably.)

说明：  多目标跟踪软件流程如下： 初始化函数 初始化轨迹对象 读取一帧数据 前景检测 根据位置进行卡尔曼预测 匈牙利匹配算法进行匹配 分配好的轨迹更新 未分配的轨迹更新 删除丢掉的轨迹 创建新轨迹 结果展示(The flow of multi-target tracking software is as follows: Initialization function Initialize track object Read a frame of data Foreground detection Kalman prediction based on location Hungarian matching algorithm for matching Assigned track update Unassigned track update Delete lost tracks Create a new track Result display)

说明：  在用matlab的时频分析中，不是所有信号的wvd都是可以，一些特殊的信号要用特殊的窗口来得到较好的效果(using Matlab in the time-frequency analysis, not all signals can be wvd, some special signal use special window to get good results)

无线通信中MIMO信道的空时编码技术之V-Blast编码(Wireless communication MIMO channel coding of space-time coding technology V-Blast)

简单SENSE图像重建，即使通过反傅里叶变换重建出最终图像(The data was acquired from 4-channel array coil using EPI sequence (2-shot, matrix: 64X64, TE: 50 ms) at a 1.5T scanner. The code estimates the coil sensitivity profiles directly from the image with anatomical contrast by low-pass smoothing. Subsequently, k-space data were decimated to simulate 2.0-fold acceleration (R=2.0). Finally, using least-squares estimate, the reconstructed full-FOV spin density image is obtained)

2D对流方程求解程序，基于Matlib编程(code for solving 2D covection equations)

有关zernike的论文，高质量，本人用这个论文实现，相当不错(About papers of zernike, high quality, I realize with this thesis, is quite good)

说明：  一个用matlab的实现的Adaboost_M1, 主要用运捆绑不同的分类器. boosting 算法的一种 (using a Matlab Adaboost_M1 the realization of the main shipped bundled with different types of devices. A boosting algorithm)