[Draguna_Vrabie-_Kyriakos_G._Vamvoudakis-_Frank

iris recognition iris gamma adjust

diode clamped mli inverter

对matlab解决图论问题的算法做个汇总。主要包括：顶点覆盖近似算法、哈密尔顿回路、最大流和最小截、最短路和次短路、最小生成树Prim算法、最短路径等等。由于太多就不一一列举了。(Matlab to solve the problem of graph theory algorithms to be aggregated. Include: vertex cover approximation algorithm, Hamilton circuit, the maximum flow and minimum cut shortest times short circuit, Prim minimum spanning tree algorithm, the shortest path. Not because of too many to enumerate.)

matlab 仿真最大比合并分集与选择式合并分集接收性能比较(matlab simulation maximal ratio combining diversity with selective combining diversity receiver performance comparison)

that is useful code for communication

研究生数值分析课程考试题型的matlab源程序(Graduate numerical analysis course exam questions matlab source)

matlab编写的元胞自动机，用谱方法计算流体力学一些流动现象的整体稳定性,相参脉冲串复调制信号。( matlab prepared cellular automata, Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, Complex modulation coherent pulse train signal.)

基于信道的历史信息来预测不同信道的未来可用时间可以帮助CR选择一个最佳信道进行信息传递。不同的预测准则应用到周期或是随机的开关模式中。一个CR可以学习以往不同信道的模式。我们提出一个简单的分类和学习方法去检测模式的类型和收集需要的信息用于智能信道的选择。MATLAB仿真结果显示提出的方案在随机信道的随机和周期模式中都有优越的表现。随着时间的变化，新到的切换次数减少到55 ，并且延迟时间也相应减少，而吞吐量却在提高。(Prediction of future availability times of different channels based on history information helps a cognitive radio (CR) to select the best channels for control and data transmission. Different prediction rules apply to periodic and stochastic ON-OFF patterns. A CR can learn the patterns in different channels over time. We propose a simple classification and learning method to detect the pattern type and to gather the needed information for intelligent channel selection. Matlab simulations show that the proposed method outperforms opportunistic random channel selection both with stochastic and periodic channel patterns. The amount of channel switches needed over time reduces up to 55 , which reduces also the delay and increases the throughput.)

MATLAB写自相关函数，M序列的MATLAB产生(MATLAB to write auto-correlation function, M sequences generated MATLAB)

FASTICA can be called with numerous optional arguments. Optional arguments are given in parameter pairs, so that first argument is the name of the parameter and the next argument is the value for that parameter. Optional parameter pairs can be given in any order.