GA-with-Constraint

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 code a tester

调用smooth函数进行加噪数据的平滑处理(noise and smooth )

in this zip folder contains the how to extract the key frames and how to add the noise and RGB.

在MATLAB中进行编程的实现定位误差分析的一段小程序(A small program of analysis in MATLAB programming to achieve positioning error)

医学图像处理第二版 罗述谦老师编写的，特别适合初次接触医学图像处理的同学学习，涉及的内容很宽泛，讲解很详细，这是我的导师推荐给我的入门书籍，很受益。希望大家也可以学到很多(Medical Image Processing 罗述谦 teacher preparation, especially for the initial contact with the students learning medical image processing, covering the very broad to explain in great detail, which I recommend to my mentor introductory books, very beneficial. I hope we can all learn a lot)

MIMO signal and system 这本书的全部代码。包含了precoding, STBC, detection 算法与书配套，可以对照学习，对初学者很有好处，也可以在代码基础上进行改进。(MIMO signal and system of this book all the code. Accompanied by a book, you can control study, very good for beginners, but also can improve the code base)

一个结合经典的弹簧阻尼系统与卡尔曼滤波的例程,含有word报告说明(Example for a classical Spring+Damp system combined with kalman filter. WORD report appended)

这个是容易看懂的2dpca MATLAB程序，简单(This is easily accessible 2dpca MATLAB procedures, simple)

说明：  离散信号时域分析的MATLAB实现 熟悉MATLAB编程方法、常用语句和可视化绘图技术(Time domain analysis of discrete signals MATLAB implementation familiar with MATLAB programming, common expressions and visual graphics)