image--bianhuan

This file is matlab codes for Differentional Evoloution

actac. matlab file very good

CT重建算法-有序子集最大期望法(OSEM)matlab源程序(CT image reconstruction algorithm ordered subset expectation maximization (OSEM) algorithm matlab source)

an inferior assistant or a channel administrator hopes to append some additional message, such as the origin information, image notation or authentication data, within the encrypted image though he does not know the original image content. some parameters are embedded into a small number of encrypted pixels, and the of the other encrypted pixels are compressed to create a space for accommodating the additional data and the original data at the positions occupied by the parameters

滑模变结构控制在本质上就是一种特殊的非线性控制。它的非线性主要是因为控制的不连续性，也就是说滑模控制的“结构”有一种随时间变化的的开关特性。(Sliding Mode Control in essence, is a special kind of nonlinear control. Its nonlinear mainly because of the control of the discontinuity, which means that the sliding mode control " structure" of a change over time of the switching characteristics.)

maze solution. it is a solution for maze problem with matlab code. in this solution I used very simple functions and it is easy for everyone.

一篇讲解偏移正交调制的博士论文，详细讲解了OFDM/OQAM系统原理及架构，值得学习(An explanation offset quadrature modulation doctoral thesis, explain in detail the OFDM/OQAM system principles and architecture, it is worth learning)

解决整数线性规划的yalmip工具箱，比较好用的(Solve the integer linear programming yalmip toolbox, more useful)

认知无线电能量检测法的仿真及其源代码和简要说明(Simulation of Energy Detection of cognitive radio )

Matlab simulation for drawing the BER plot of the LTE turbo code, using either the BCJR algorithm or the fully-parallel algorithm. Copyright (C) 2013 Robert G. Maunder The simulation can be started by running the main.m script. This can be modified to either the BCJR algorithm or the fully-parallel algorithm, as well as to the frame length N. As the simulation proceeds, it will gradually plot the BER that can be achieved using various number of decoding iterations, as selected in main.m. A greater number of decoding iterations will give a lower BER. The script main.m can also be modified to make the BER plots smoother and reach lower BERs, at the cost of making the simulation run slower.