PSO

用蒙特卡洛法实现对排队等待问题的计算机模拟 (Monte-Carlo method to realize the problem of computer simulation of waiting)

说明：  用于特征降维，特征融合，相关分析等多元数据分析的fisher鉴别分析（FLDA）Matlab代码实现。(For feature reduction, feature fusion, correlation analysis, multivariate data analysis of the fisher discriminant analysis (FLDA) Matlab code implementation.)

K-SVD SPARSE REPRESENTATION 基于学习的稀疏表示图像分析方法，以去噪为例。(K-SVD SPARSE REPRESENTATION)

RequestWrapper extends AbstractHttpMessage implements HttpUriRequest.

is the handbook of wirelesss network. very usefull if you work on the physical layer.

运用粒子群优化算法对ARMA(p,q)模型的阶数进行优化是可行的，且利用优化后的ARMA模型对航空发电机状态趋势进行分析的结果十分准确，与原始数据所表现出的航空发电机状态变化趋势基本一致。经计算，此时分析结果的平均相对误差较小，仅为1.38 ，与优化前构建的ARMA模型相比，平均相对误差降低0.23个百分点，优化效果明显。(Using particle swarm optimization algorithm to optimize the order of the ARMA (p, q) model is feasible, and the use of the results of the ARMA model optimized air generator status trends analysis is very accurate, and the raw data showed aviation the generator status consistent trend. Calculated analysis of the results, the average relative error is small, only 1.38 , compared with the the ARMA model built before optimization, average relative error is reduced by 0.23 percentage points, to optimize the effect is obvious.)

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 )

以速度为11m/s沿x轴做匀速直线运动，通过卡尔曼滤波跟踪目标，作出相应协方差图像，内有注释，根据相应功能可更改注释。(At the speed of 11 m/s, we perform uniform rectilinear motion along the X axis. We track the target through Kalman filter and make corresponding covariance images. There are annotations in it, and annotations can be changed according to the corresponding functions.)

说明：  CRC校验码的MATLAB实现 生成多项式【1 1 0 0 1 1】 结果正确 可以直接使用(CRCcheck.m)

关于无线网络matlab仿真的经典教材的源码，适合有一定基础的同志们学习(Matlab simulation of wireless network classic source material for a certain comrades based learning)