EfficiencyofNetworks

遗传算法的matlab源程序，可以用于遗传算法的应用，还是很有用的(matalb)

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 )

用matlab实现模式识别里的K-均值聚类算法，算法简单(Pattern Recognition using matlab to achieve in the K-means clustering algorithm, the algorithm is simple)

参考文献蓄电池等效电路模型，二阶RC等效电路模型(Reference to the paper on battery equivalent circuit model, second-order RC equivalent circuit model)

边缘检测代码。多种检测方法，包括梯度算法（多种窗），LOG算法，sobel算子等等(Edge detection code. A variety of detection methods, including gradient algorithm (multiple windows), LOG algorithm, sobel operator, etc.)

selected matlab codes for numerical analysis numerical differentiation and root finding. Euler anf Ronge Kotta

一、 本程序采用16QAM调制方式，对一串2进制信源进行调制，采用（7，4）循环码对信源做信道编码，用升余弦滚降函数进行基带调制，再调到高频信道；在信道上加入高斯白噪声，运用匹配滤波器解调，画出解调星座图，运用最小欧氏距离译码判决，再对信号进行信道解码，画出采用信道编码技术和不采用信道编码技术的误比特率图。(First, this program uses 16QAM modulation mode, for a string of two binary source is modulated, using (7,4) cyclic code of the source-channel coding to do with a raised cosine roll-off function for base-band modulation, and then transferred to a high frequency channel in the channel by adding Gaussian white noise, the use of matched filter demodulation, demodulation constellation plot, using the minimum Euclidean distance decoding decision, and then right channel signals, decoding, channel coding techniques used to draw and non- channel coding techniques using bit error rate plans.)

对8PSK完美建模，其中通过改变码元速率和载波频率，再计算相应的环路滤波器的参数，即可实现多种QPSK模型的解调，且该模型可通过SYSTEM generator进行量化，从而生成ISE能直接使用的HDL代码。(Perfect modeling of 8PSK, wherein by changing the symbol rate and carrier frequency, and calculate the corresponding parameters of the loop filter, to achieve a variety of demodulated QPSK model, and the model can be quantified by SYSTEM generator, thereby generating ISE HDL code can be used directly.)

超宽带通信压缩感知信道估计与信号检测方法(Ultra Wide-Band Channel Estimation and Signal Detection Through Compressed Sensing )

离散卡尔曼滤波的MATLAB实现，是UNC文献中Python版的MATLAB重写(Matlab code of Kalman Filter, is a matlab version code of the paper-in python example in an introduction of KF from UNC)