time-varying-VAR

可实现QAM的星座图输出，仿真波形图输出，功率谱密度输出(Can be achieved QAM constellation diagram of the output, simulation waveform output, power spectral density output)

说明：  MATLAB有限元分析与应用的源代码，非常实用！(MATLAB finite element analysis and application source code, very useful!)

说明：  SLM算法的ccdf表示，用来降低OFDM系统中papr值。(SLM ccdf algorithm, used to reduce the OFDM system papr value.)

This is the PCA matlab code using face recognition.

说明：  ukf与ekf做对比，可以看出ufk与ekf的性能差别(compare ukf with ekf)

FastICA programs: FASTICAG - GUI for FastICA FASTICA - Mfile for FastICA functions used by FastICA: FPICA - main algorithm for calculating ICA WHITENV - function for whitening data PCAMAT - calculates the PCA for data REMMEAN - function for removing mean ICAPLOT - for plotting the signals

this is a source code of beamforming

Reed solomon code BER curve

联合智能(JI-MUD)多用户检测算法是由粒子群优化(PSO)算法,遗传算法(GA)和模拟退火(SA)算法(the joint intelligent multi-user detection (JI-MUD) algorithm which was composed by particle swarm optimization (PSO) algorithm, genetic algorithm (GA) and simulated annealing (SA) algorithm was proposed)

BP神经网络：是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。(BP neural network: a Press the front back propagation algorithm to train multilayer feedforward network is one of the most widely used neural network model. BP network can learn and store large amounts of input- output mode mappings without prior reveal mathematical equations that describe this map. It' s learning rule is to use the steepest descent method, through a reverse spread to constantly adjust the network weights and thresholds, so that the minimum squared error of the network. BP neural network topology, including the input layer (input), hidden layer (hide layer) and output layer (output layer).)