分布式经济调度

matlab实现对ofdm系统的整体仿真，适合初学ofdm的人员(Matlab implementation of the overall simulation of the OFDM system, suitable for the beginners of OFDM)

说明：  function for bouc wen, not able to upload

获取本地主机IP和本地主机的名称，。。。。(获取主机IP)

说明：  黄平教授编写《最优化理论与方法》例12-2matlab程序(Professor Huang Ping prepared, &quot Optimization Theory and Methods&quot cases of 12-2matlab program)

MATLAB中读写、处理科学数据文件格式NETCDF的程序(code related to the reading, writing and other process about NETCDF)

New ant based protocol implemented for Ns2 and for higher versionAnt Based Adaptive Multicast Routing Protocol (AAMRP).

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

并行运算与神经网络——基于CPU/GPU的并行神经网络运算(Artificial Neural Networks)

GMM（混合高斯模型）matlab代码，代码中有详细的代码说明。同时还包含一个例子。(GMM (GMM) Matlab code, the code has a detailed description of the code. Also contains an example.)

说明：  hybrid optimization algorithm for the various optimization algorithm