Comm_system

有一个文章，很经典的文章，附有全部的matlab源码。接受和发送都有。很好的，对于初学者。(It is very useful to the newcomer in OFDM domain.)

说明：  遗传算法在MATLAB中的一些简单函数的应用 适合初学者 (Genetic Algorithm in MATLAB in the application of some simple functions for beginners)

模拟退火算法简介及解决实际问题的代码Matlab程序(Introduction and simulated annealing algorithm to solve practical problems Matlab program code)

微信定位源代码,微信定位精灵,定位助手,微信定位软件(Micro-channel positioning source code, micro-channel positioning elves, positioning aides, micro-channel positioning software)

Dennis M.Sullivan FDTD书后matlab程序 已经调试验证 第四章(Dennis M.Sullivan matlab program using FDTD book have been debug and verify)

摘要:为提高密码的抗攻击性,利用超混沌系统随机性好!可确定再生,且密钥空间较大的特性,提出了一种基于四维连续超混沌系统和扩展映射的实时视频流加密算法"(Abstract: In order to improve the password anti-aggressive use of system randomness hyperchaos good! Regeneration can be identified, and key characteristics of the larger space, a row based on four-dimensional hyperchaotic system and expansion of mapping real-time video stream encryption algorithm )

熵（近似熵，样本熵）,适合初学者。值得一看。。。。。(Entropy (entropy of approximate entropy, sample), suitable for beginners. Worth a look... )

对HARQ系统的吞吐量分析，模式识别中的bayes判别分析算法，粒子图像分割及匹配均为自行编制的子例程，给出接收信号眼图及系统仿真误码率，BP神经网络用于函数拟合与模式识别，用于信号特征提取、信号消噪，合成孔径雷达（SAR)目标成像仿真，有CDF三角函数曲线/三维曲线图。( HARQ throughput analysis of the system, Pattern Recognition bayes discriminant analysis algorithm, Particle image segmentation and matching subroutines themselves are prepared, The received signal is given eye and BER simulation systems, BP neural network function fitting and pattern recognition, For feature extraction, signal de-noising, Synthetic Aperture Radar (SAR) imaging simulation target, There CDF trigonometric curve/3D graphs.)

用Parzen窗法或者kn近邻法估计概率密度函数，得出贝叶斯分类器，对测试样本进行测试，比较与参数估计基础上得到的分类器和分类性能的差别.2． 同时采用身高和体重数据作为特征，用Fisher线性判别方法求分类器，将该分类器应用到训练和测试样本，考察训练和测试错误情况。将训练样本和求得的决策边界画到图上，同时把以往用Bayes方法求得的分类器也画到图上，比较结果的异同。3．选择上述或以前实验的任意一种方法，用留一法在训练集上估计错误率，与在测试集上得到的错误率进行比较。(Use Parzen Windows method or the kn neighbor method estimated probability density function, draw the bayes classifier, to test sample to test, and the parameter estimation is based on the classifier and get the difference of classification performance. 2. At the same time the height and weight data as the characteristic, with Fisher identification method for linear classifier, and the application of the classifier to training and test sample, investigation and test training error condition. Will the training sample and utility of decision on the drawing boundary paint, and at the same time before the Bayes method with optimal classifier also paint chart, the result of the comparison of the similarities and differences. 3. Select the above or before any a kind of method of experiment, with a method for training set in the estimation error rates, and on the test set get error rates are compared.)

牛顿插值算法的小程序。牛顿插值算法，比一般的Interpolation精度高一些，使用较为广泛。(Newton interpolation method, which is widely used.)