data-for-EEG-Epileptic

基于MATLAB编程的卫星轨道动态仿真,利用M文件进行编程实现了三维立体动画的卫星动态显示(Dynamic simulation based on MATLAB programming, satellite orbit, the M-file programming a dynamic display of three-dimensional animation of the satellite)

远场波束形成，MVDR波束形成，最小方差无失真响应(Far-field beamforming, MVDR beamforming, minimum variance distortion response)

针对粒子群算法存在局部最优，易陷入局部最小值的问题，自适应权重粒子群优化算法(For particle swarm optimization, there are some problems, which are easy to fall into local minimum, and the adaptive weight particle swarm optimization algorithm is easy to fall into local minimum.)

关于IT界现今为止还算前沿的一些技术，作为导论式的资料，可作为参考(Up until now fairly on the IT sector, a number of cutting-edge technology, as the introductory-style information can be used as reference to)

MATLAB构造 主要用于证券 股票 金融等领域随机环境的构造(MATLAB main stock for the securities and financial fields random tectonic environment)

模糊支持向量机算法研究，将模糊隶属度函数与最小二乘支持向量机相结合，来抑制异常点和噪声的影响(RESEARCH ON FUZZY SUPPORT VECTOR MACHINE )

代码给出几种不同的信道模型对应的matlab仿真，代码精确无错，适合初学者自学(we have considered the general large-scale fading characteristics of wireless channels)

说明：  惯性仪器测试与数据分析 [严恭敏 编] 2012年版，该书配套的MATLAB代码，非常具有学习意义。(Inertial instrument test and data analysis [yan gongmin, Ed.] 2012 edition, the book is matched with MATLAB code, which is of great learning significance)

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.)

M_M_1排队 根据排队论的知识我们知道，排队系统的分类是根据该系统顾客到达模式、服务模式、服务员数量以及服务规则等因素决定的。(M_M_1 queuing We know that the knowledge of the queuing theory classification of queuing systems Under the system, customer arrival patterns, service mode, attendant number, and service rules and other factors.)