animcp

蚁群聚类算法及其源码。是蚁群算法跟聚类算法的结合，启发式搜索社团结构。(Ant colony clustering algorithm and its source code. Ant colony algorithm with the clustering algorithm is a combination of heuristic search community structure.)

automatically register 2 images in matlab

matlab设计 图与网络经典算法matlab classical algorithms and network design(matlab network design and classical algorithm matlab classical algorithms and network design)

[绝对可运行]异步电动机的直接转矩仿真（运行环境matlab6.5）有助于接触异步电动机的直接转矩控制的人快速熟悉直接转据的整个结构和具体方法([Absolute run] asynchronous motor direct torque simulation (operating environment matlab6.5) help contact asynchronous motor direct torque control of the people familiar with the direct transfer, according to fast the whole structure and the specific methods)

Display symbolic expression in web browser

《离散反问题》中的各类正则化matlab程序( Matlab package Regularization tools for the book 《discrete inverse problems》)

小波神经网络的PPT，包括很多实用性的东西(Wavelet Neural Networks PPT, including a lot of practical things)

说明：  这是一部很好的学习通信信号处理的书籍，很适合于初学者；文中系统的讲解了通信信号方面的知识和处理算法(This is a good book to learn communication signal processing, it is suitable for beginners paper explains the system of knowledge and communication signal processing algorithms)

比例积分型的GPC，由新的目标函数解出的控制率与常规PI控制有着一样的形式，这样就获得了一种具有PI结构的广义预测控制，而且其参数 、 有着明显的工程意义，整定原则基本类似于PID。(Proportional-integral-type GPC, the new objective function solution of the control rate with conventional PI control has the same form, so to obtain a PI structure with generalized predictive control, and its parameters, there is a clear sense of the project, setting basic principle is similar to PID.)

三维点云法向量估计综述由于获取方便、表示简单、灵活等优势，点云逐渐成为常用的三维模型表示方法之一。法向量作为点云必不可少的属性 之一，其估计方法在点云处理中具有重要的位置。另一方面，由于点云获取过程中不可避免的噪声、误差和遮挡，点云中通常含 有噪声、外点和空洞，并且部分采样模型如CAD模型，也会存在尖锐特征，这些都给法向量估计提出了挑战。对当前已有的点云 法向量估计算法进行综述，分析其原理及关键技术，着重分析它们在处理噪声、外点和尖锐特征等方面的能力并给出比较，最后 为未来研究提供了一些建议(The three-dimensional point cloud normal vector estimation summarized obtain convenient, represents a simple, flexible, and becoming one of the methods commonly used three-dimensional model represents the point cloud. Normal vector of one of the as point clouds essential attributes, its estimation method has important position in the point cloud processing. On the other hand, the noise is inevitable in the process to obtain because of the point cloud, error and occlusion, point cloud typically contains noise outside point and empty, and part of the sampling model such as CAD models, there will still be sharp features, which gave the normal vector estimated that presents a challenge. Overview of current existing point cloud normal vector estimation algorithm, analysis of the principle and key technologies, and analyzed their ability to deal with the noise, the outer points and sharp features and gives comparison, and finally provide some suggestions for future research)