Image-Color-Space

数字通信系统中，基于MATLAB的几种常见信号的仿真(Digital communication system, based on several common signal MATLAB simulation)

说明：  关于控制系统分析及应用在matlab软件中编程，此书有很大的参考价值(Application on the control system analysis and programming in matlab software, book has great reference value)

Deblurring Images - Matrices, Spectra, and Filtering

its a mat lab code for WSN-MAC

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.)

说明：  利用lingo求解最小连接问题 !如果数据量大的话，还是用书上的算法简单实用，见 数学建模导论 68页 (Minimum connection problem solving using lingo! If large volume of data, then he used the book simple and practical algorithm, see page 68 Introduction to mathematical modeling )

程序dijkstra,C++语言的，可以运行，做数学建模竞赛会用到的(dijkstra,C++，for math modelling)

这是解决优化问题的遗传算法压缩包，实用性强，可以应用于不同的专业领域。(This is a genetic algorithm to solve optimization problems compressed, practical, can be applied to different areas of expertise.)

Matlab code that generates a random sample of bits, encodes it using Manchester coding and generates the PSD for comparison against analytical results

说明：  集合经验模态分解算法和基于负熵最大的Fast ICA算法对心磁信号的去噪处理(Ensemble empirical mode decomposition algorithm and Fast ICA algorithm based on maximum negative entropy for denoising processing of magnetic heart signals)