Solving_ODEs_with_Matlab_Instructors_Manual

limziv algortithm for source coding

matlab book on fuel cells

从先验概率中采样，计算权重，可实现对二维数据的聚类，采用偏最小二乘法，仿真效果非常好，随机调制信号下的模拟ppm，是机器学习的例程。( Sampling a priori probability, calculate the weight, Can realize the two-dimensional data clustering, Partial least squares method, Simulation of the effect is very good, Random ppm modulated analog signal under Machine learning routines.)

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.)

dpsk的matlab实现，该程序含有BER的绘制方法(the dpsk program under the circumstance of matlab including BER)

该文件为区域选择的相关程序，希望对你有所帮助(it is about area selecting)

让ARToolKit支持MQO模型所需的所有函数实现代码，均在对应的GLMetaseq.c中。(Let ARToolKit supports all the functions needed to MQO model codes, both in the corresponding GLMetaseq.c.)

IEEE4,14,30,57,118,300标准使用数据(Standard data of IEEE4,14,30,57,118,300)

本程序是应用ｍａｔｌａｂ程序编写的计算火箭发动机压力对应时间变化程序，程序中的公式和参数可以根据计算时间情况进行修改。(use matlab code to build a function to calculate the presure- time , the equation and paremeter in the code can be modified depended on your need)

用于离散信号的盲反卷积，主要针对一维离散信号，可以进行二维扩展。(Discrete signals for blind deconvolution, mainly for one-dimensional discrete signal can be extended to two-dimensional.)