ICP

modulasion qpsk simulation for coperative communication

罚函数法将有约束最优化问题转化为求解无约束最优化问题。在此给出罚函数法Matlab源程序(Penalty function method will be constrained optimization problem into solving unconstrained optimization problems. This gives the penalty function method in Matlab source)

用sobol方法计算基于方差的客观不确定性指标的程序。(Sobol method used to calculate the variance of uncertainty based on objective indicators of the program.)

说明：  matpower电网潮流计算工具下载，功能强大(Mapower power grid power flow calculation tool download, powerful function)

实现超宽带信号在自由空间，室内的传播过程，该过程通过FDTD技术来实现。(Through FDTD technology,we simulate the process that UWB signal transmits in freespace)

it is a project of socket programming in linux . it was witten in c language . it has two parts client and server . clients can connect to server and use some services from server and server service client. client can be more than one but server just one.

MATLAB宝典(第3版)(含源码),对于想系统学习Matlab的童鞋很有用(A valuable book of MATLAB )

This is a basic book on radars

This submission enables MATLAB to access onboard Sensors on iPhone and iPad. With this submission, you can access a mobile device’s accelerometer, magnetometer, location, orientation and compass information directly from MATLAB running on your computer. You can access current and logged sensor data, and you can use MATLAB to visualize and analyze the mobile sensor data or make decisions based on the acquired data.

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.