m12_2

用MATLAB仿真，实现香农编码的仿真。得到香农码。(Using MATLAB simulation, the simulation codes to achieve Shannon. By Shannon code.)

source code of Fundamentals of texture mapping and image warping (the source show how texture mapping works)

Fast Hankel Transform Algorithm (Fast Hankel Transform Algorithm)

The Netlab toolbox is designed to provide the central tools necessary for the simulation of theoretically well founded neural network algorithms and related models for use in teaching, research and applications development. It contains many techniques which are not yet available in standard neural network simulation packages(The toolbox is designed to provide t he central tools necessary for the simulation o f theoretically well founded neural network al gorithms and related models for use in teaching , research and applications development. It c ontains many techniques which are not yet avail able in standard neural network simulation pac kages)

已知n个城市之间的相互距离，现有一个推销员必须遍访这n个城市，并且每个城市只能访问一次，最后又必须返回出发城市。如何安排他对这些城市的访问次序，可使其旅行路线的总长度最短？ (Known n city between the distance, the existing of a salesman to be visited this n city, and each city can only be visited once, finally to return to the starting city. How to arrange for him to visit the city order, which can make the total length of the shortest travel route)

用于混沌时间预测与分析，经调试，可以运行(Used for prediction and analysis of chaotic time, debugging, you can run)

北斗导航定位二代协议解析，包括格式及解析代码。(Compass II protocol analysis, including formatting and parsing code.)

The ultimate goal of the project is to develop a smart autonomous robot that is able to navigate fully utonomously around the laboratory floor or even the campus

Optional Data Exception extends Object Stream Exception Source Code for Andriod.

he files in this package comprise the Matlab implementation of a foreground segmentation algorithm based upon graph cuts, described in: Better Foreground Segmentation Through Graph Cuts, N. Howe & A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017. The file extractForeground.m contains a sample function that will perform a complete foreground segmentation for static camera video. It uses a number of parameters, which are described in the documentation. An attempt was made to choose sensible default values, but they may need to be adjusted for some videos. More generally, the implementation in extractForeground.m is only a suggestion of how the graph-based segmentation might be used. The same approach can be applied with other (perhaps time-adaptive) background models. The key step is at line 113 of the code, once the deviation array has been created. The graph-cut segmentation can be applied similarly to a deviation matrix computed in any other way.