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读取LIDAR 激光点云 为下一步处理做准备(The reading program)

用matlab自带的Gatool实现的tsp计算问题，有测试用例与图形化界面。(That comes with matlab tsp Gatool achieve computational problems, there are test cases and graphical interface.)

说明：  搜集了几种人工只能算法，基于Matlab平台编写，包括聚类、统计稀疏、最小范数法、DOA、投影追踪、稀疏贝叶斯等(Several artificial algorithms are collected and compiled on the platform of matlab, including clustering, statistical sparseness, minimum norm method, DOA, projection tracking, sparse Bayesian, etc.)

说明：  这是一个对比仿真实验： 基于复信号构造系统，生成IQ数据，进行QAM复调制，然后进行复解调，给出调制前后的频谱： 之后在用传统的载波调制的方式重新在做一遍，给出调制前后的频谱(This is a comparative simulation experiment: Based on complex signal construction system, IQ data is generated, QAM complex modulation is carried out, then complex demodulation is carried out, give the spectrum before and after modulation After that, the traditional carrier modulation method is used to do it again, give the spectrum before and after modulation)

三种聚类方法的径向基程序，用matlab编写，希望对你有一点帮助(Radial basis of three clustering procedures, using matlab write, I hope you have a little help)

说明：  我们知道，小波变换的一级分解过程是，原始信号分别进行低通、高通滤波，再分别进行二元下抽样，就得到低频、高频（也称为平均、细节）两部分系数；而多级分解则是对上一级分解得到的低频系数再进行小波分解，是一个递归过程。以下是一维小波分解的程序. (We know that a wavelet transform decomposition process is that the original signal were low-pass, high pass filter, and then carried out under the binary sample, we obtained low-frequency, high-frequency (also known as the average, details) coefficient of two parts and Multi-level decomposition is a decomposition of the previous low-frequency coefficients to be further wavelet decomposition is a recursive process. Following is a one-dimensional wavelet decomposition process.)

Matlab Code for denonsing approach

k-d树的matlab程序，包含了KDTREE, KDTREEIDX and KDRANGEQUERY functions。提供了两个Demo scripts(kdtree_demo.m & kdrange_demo.m),很实用( This distribution contains the KDTREE, KDTREEIDX and KDRANGEQUERY functions. Included are the source code files in kdtree/src, as well as precompiled mex files for the following systems: - Mac OS X (Matlab 6.5) - Redhat Linux (Matlab 6.5) - Windows (Matlab 6.1) Two demo scripts are provided (kdtree_demo.m & kdrange_demo.m). The new features added June 2004: + You can now use N dimensional data points, where N>3. + Use KDTREEIND to return the index value to the closest point, instead of the closest point values. + KDRANGEQUERY can now return these index values as well. Written by/send comments or suggestions to : Guy Shechter guy at jhu dot edu June 2004 )

基于RA码的信道编码与物理层网络编码联合设计仿真程序(Based on the physical layer channel coding and network coding RA joint design simulation program code)

lorenz模型的敏感性试验（有图显示）：说明了lorenz模型的非线性和混沌性。(lorenz model sensitivity test (with map display): Description of the lorenz model nonlinearity and chaos.)