channel_25996

Removing all variables, functions, and MEX-files from memory, leaving the workspace empty. clear all Deleting all figures whose handles are not hidden. close all Deleting all figures including those with hidden handles. close all hidden Clearing all input and output from the Command Window display giving us a clean screen. clc

svm demo的实现 实现SVM训练测试的全过程，对于初学者很实用，也能彻底了解SVM运行过程，知其然知其所以然，国外一权威网站上下载的，上传以供分享学习(svm demo of SVM training tests to achieve the realization of the entire process, a foreign authority Web site to download and upload for sharing learning)

real time demonstratitaon on wirelerss sensor network

经典粒子群算法的matlab实现。用多维函数进行测试。并给出算法寻优迭代的效果图(Classical PSO algorithm matlab. Tested with multi-dimensional functions. And gives an iterative optimization algorithm renderings)

tvp-var model 可以用来做TVP-VAR模型(tvp-var model for good use)

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.)

分析并实现了奇异谱斜率的方法，编程实现了时域信号的检测。(And to achieve a singular spectrum analysis method of slope, programming of the time-domain signal detection.)

In this i attached matlab code for indoor localization using WIFI and FM signal features classified by KNN classifier to predict the fingure print of the building structure.

MATLAB实MATLAB实现跳频系统 MATLAB实现跳频系统 MATLAB实现跳频系统 (MATLAB program for FH)

说明：  lms/rls的自适应均衡算法仿真源代码,两个函数打包(lms/rls adaptive equalization algorithm simulation source code, two functions are packaged)