rengongmianyi

使用matlab仿真OFDM。其中描述了OFDM的基本原理，含详细的公式推导过程。在文章最后附有matlab代码，并且有仿真结果可参考。(Matlab simulation using OFDM. Describes one of the basic principles of OFDM, with a detailed formula derivation process. At the last article with matlab code, and have the simulation results can be found.)

T=[1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] 输入向量的最大值和最小值 threshold=[0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net=newff(threshold,[31 3],{ tansig , logsig }, trainlm ) 训练次数为1000，训练目标为0.01，学习速率为0.1 net.trainParam.epochs=1000 net.trainParam.goal=0.01 LP.lr=0.1 net = train(net,P,T) 测试数据，和训练数据不一致 P_test=[0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 (T = [1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] ' of the maximum and minimum input vector threshold = [0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net = newff (threshold, [31 3], {' tansig' , ' logsig' }, ' trainlm' ) training times for the 1000 target of 0.01 training, learning rate of 0.1 net.trainParam.epochs = 1000 net. trainParam.goal = 0.01 LP.lr = 0.1 net = train (net, P, T) test data, and training data inconsistencies P_test = [0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 )

说明：  OMP（正交匹配追踪）算法，用于压缩感知，稀疏信号的重建.(OMP algorithm for compressed sensing, sparse signal reconstruction)

说明：  一种高效的应用于MIMO检测的球形算法。适用于N-by-N QAM 调制。(an effective MIMO system deteciton algrithom ,which is applied to N-by-N transeiver with QAM modulatuion.)

基本蚁群聚类算法及其改进算法[带Matlab源代码] 该算法，解决了不收敛的问题，聚类效果非常好（效果图如附件图片所示）。 改进的蚁群算法是基于遗传算法的改进，在基本遗传算法的基础之上，加入了变异因子， 产生变异，从而更快的收敛。 (The basic ant clustering algorithm and its improved algorithm with Matlab source code of the algorithm to solve the non-convergence problems, the clustering effect is very good (image such as shown in the attached images). Improved ant colony algorithm is a genetic algorithm-based improvements in the basic genetic algorithm based on the added factor of variation, mutation, and thus faster convergence.)

function [ H ,S ] = HS( f ) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1=diff(f,x1) f2=diff(f,x2) S= [f1 f2] H = [diff(f1,x1) diff(f1,x2) diff(f2,x1) diff(f2,x2)] end s0=subs(S,findsym(S),[0 0])(function [H, S] = HS (f) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1 = diff (f, x1) f2 = diff (f, x2) S = [f1 f2] H = [diff (f1, x1) diff (f1, x2) diff (f2, x1) diff (f2, x2)] end s0 = subs (S, findsym (S), [0 0 ]))

最小二乘法展開速度快的相位展開,很好的相位展開法(Least mean square method phase unwrapping)

说明：  对一个16元等距线阵，间距为半个波长，空间5个相互独立信源从不 同方向入射，信噪比分别为30、25、20、15、5dB。采用MUSIC方法估 计其空间入射方向(For a 16 element equidistant linear array, the spacing is half a wavelength, and five independent sources are incident from different directions. The SNR is 30, 25, 20, 15 and 5dB respectively. Music method is used to estimate the spatial incident direction)

matlab内容精讲，自己看过了感觉挺好的 推荐学习matlab的同学们可以看看(The matlab content succinctly and have seen a very good feeling the recommended learning matlab classmates can look)

包括广义互相关函数GCC时延估计，本程序的性能已经超过其他算法，利用自然梯度算法。( Including the generalized cross-correlation function GCC time delay estimation, This program has exceeded the performance of other algorithms, Use of natural gradient algorithm.)