rate_equation

matlab编写的802.11n的信道模型仿真(matlab prepared 802.11n channel model simulation)

说明：  这个程序主要是对英特网无标度网络的仿真，很有用的哦(This program mainly for the Internet scale-free network simulation, very useful oh)

立体视觉的关键技术是解决对应问题，点特征常被用来做特征。HARRIS角点检测算子较有影响。用MATLAB编写的。(stereo vision technology is the key to solve the matching problem, point feature often used to do features. HARRIS corner detection operator more influential. MATLAB prepared.)

其实popupwindow用起来比Dialog 方便，因为dialog一切都需要你自己来实现，而popupwindow帮我们实现了很多，我认为在使用的时候关键我们要看清参数： popupWindow.showAtLocation(parent, gravity, x, y) parent这个是一个父view试图， gravity 这个默认是居中，我们要指定显示方式：Gravity.LEFT | Gravity.TOP 最后两个参数就是显示的坐标位置，这样就可以根据需求自己定位显示位置了

有一个小的错误数据采集财产编辑线225 ： data.ObjectList （ CT表现1 ：电脑断层+ numChildren ， 1 ） = num2cell （儿童） 这一事业的情况，信息渠道，开始形成第二个是不显示的。您可以尝试的坐标(There is a small error in data acquisition and property editing line 225: data.ObjectList (CT performance 1: CT+ numChildren, 1) = num2cell (children) the cause of the situation, information channels, the second is the beginning of the formation do not show of. You can try to coordinate)

The objective of this project is to investigate the possibility of applying a dynamic channel allocation to cMCN. The proposed method is a multihop dynamic channel assignment (MDCA) scheme that works by assigning channels based on interference information in the surrounding cells. A channel searching strategy, sequential channel searching (SCS) is developed for the MDCA scheme. This strategy is responsible for the channel updation which includes channel assignment for a new request and channel release after the completion of the communication process. Through computer simulation, we show that the proposed MDCA scheme using the SCS strategy improves the system capacity significantly.

产生周期矩形信号的matlab源程序，希望对大家有帮助(Produce periodic rectangular signal matlab source, we want to help)

MSK信号，通过mld，完整演示了MSK信号的产生和接收。(MSK signal, by mld, a complete presentation of the MSK signal generation and reception.)

实现正交试验,从而能够得出那几个变量最重要。(to realize experiment)

This directory includes matlab interface of the curvelet transform using usfft. Basic functions fdct_usfft.m -- forward curvelet transform afdct_usfft.m -- adjoint curvelet transform ifdct_usfft.m -- inverse curvelet transform fdct_usfft_param.m -- returns the location of each curvelet in phase-space Useful tools fdct_usfft_dispcoef.m -- returns a matrix contains all curvelet coefficients fdct_usfft_pos2idx.m -- for fixed scale and fixed direction, returns the curvelet which is closest to a certain point on the image Demos fdct_usfft_demo_basic.m -- display the shape of a curvelet fdct_usfft_demo_recon.m -- partial reconstruction using curvelet fdct_usfft_demo_disp.m -- display all the curvelet coefficients of an image fdct_usfft_demo_denoise.m -- image denoising using curvelet(This directory includes matlab interface of the curvelet transform using usfft. Basic functions fdct_usfft.m-- forward curvelet transform afdct_usfft.m-- adjoint curvelet transform ifdct_usfft.m-- inverse curvelet transform fdct_usfft_param.m-- returns the location of each curvelet in phase-space Useful tools fdct_usfft_dispcoef.m-- returns a matrix contains all curvelet coefficients fdct_usfft_pos2idx.m-- for fixed scale and fixed direction, returns the curvelet which is closest to a certain point on the image Demos fdct_usfft_demo_basic.m-- display the shape of a curvelet fdct_usfft_demo_recon.m-- partial reconstruction using curvelet fdct_usfft_demo_disp.m-- display all the curvelet coefficients of an image fdct_usfft_demo_denoise.m-- image denoising using curvelet)