graphConvolve

RFS filter bank, by zisserman and group

说明：  模式识别，算法用于模式分类，采用了matlab自带的接口函数(pattern recognition algorithm for pattern classification, using the Matlab's own interface function)

本程序使用matlab编码，能实现对运动目标的检测，适合初学者学习(This procedure using matlab coding, to achieve the detection of moving targets, suitable for beginners to learn)

此程序是用来将机载激光雷达（LIDAR）点云数据转换成DSM深度影像，以便于后续进行阈值分割工作的。(This program is used for airborne laser radar (LIDAR) to transform point cloud data into the DSM depth image, in order to follow-up the work of the threshold segmentation.)

该文档包含了利用深度学习神经网络对分类问题的详细结构(Implement deep networks for digit classification)

本教程提供了使用MATLAB的实践性指导，它基于MATLAB6.0版，内容由浅入深，特别是本书对每一条命令的使用格式都作了详细而又简单明了的说明，并配备了例题加以说明其用法，因此，对于初学者自学是很有帮助的；同时，又对数学中的一些深入问题如数值分析、稀疏矩阵、优化理论以及模糊数学等问题进行了较为详细的论述，因此，该书也可作为科技工作者的科学计算工具书。(This tutorial provides a practical guide for using MATLAB, which is based on MATLAB6.0 version of the content of Deep and, in particular the book using the format of each command are detailed but simple instructions, and be equipped with examples on its usage, therefore, is useful for beginners learning the same time, some of the depth of mathematical problems such as numerical analysis, sparse matrix, optimization theory and fuzzy mathematics and other issues discussed in detail, therefore, the Books can also be calculated as the scientific and technological workers, tool.)

这是一个关于未编码IDMA系统的仿真程序，调制方式是用BPSK(This is a study on non-coded IDMA system simulation program, using BPSK modulation)

标准程序源代码标准程序源代码标准程序源代码(biao zhun cheng xu yuan daima)

同步发电机采用水轮机 结合励磁系统和调速系统的仿真模型(Synchronous generator powered by hydraulic turbine with excitation and governor systems)

这个程序实现AMLE方法的图像插值。首先，通过入口从输入图像得到一定数量的水平集。起点只是自动选择的。然后，每个水平集的边界被提取出来，图像边界上的数据被记录。最后，通过使用ＡＭＬＥ扩展这些信息重建一个非常接近原图像的新的图像。(This program implement image interpolation by AMLE method. Firstly, get a number of level sets from an input image by thresholdding. The threshold values are chosen automatically. Then the boundaries for each level set are extracted, the image data on the boundaries are recorded. Finally, by using AMLE, extend those imformation to reconstract a new image, which will approximate the original one quitr well.)