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说明：  模拟退火GUI演示，利用模拟退火算法求全局最大值最小值(Simulated annealing GUI demonstration, the use of simulated annealing algorithm seeking the global maximum value of the minimum)

信号在信道进行传输时，经常会出现串扰，采用基于最大似然序列估计（MLSE）的电子色散均衡器的方法，克服光纤通信中的由各种色散引起的码间干扰。 研究基于最大似然序列估计（MLSE）的均衡器，采用维特比算法实现，用matlab仿真出采用MLSE后的性能指标（眼图和误码率）的提升。 (Signal transmission channel often occur crosstalk, based on the maximum likelihood sequence estimation (MLSE) electronic dispersion equalizer of the ways to overcome optical fiber communications in a variety of dispersion caused by the inter-symbol interference. Research based on the maximum likelihood sequence estimation (MLSE) of the equalizer, the Viterbi algorithm, a simulation using matlab after using MLSE performance indicators (eye diagram and bit error rate) of the upgrade.)

Ns-2 Network simulation version2 has explore the VANET programs to do projects

it includes some usefull codes in speech processing

粒子群优化算法（PSO）是一种基于种群的随机优化技术，由Eberhart和Kennedy于1995年提出。粒子群算法模仿昆虫、兽群、鸟群和鱼群等的群集行为，这些群体按照一种合作的方式寻找食物，群体中的每个成员通过学习它自身的经验和其他成员的经验来不断改变其搜索模式。 (Particle swarm optimization algorithm (PSO) is a population based stochastic optimization technique, put forward by Eberhart and Kennedy in 1995. Particle swarm optimization (pso) algorithm on insects, herds, flocks and schools of fish swarm behavior, and these groups to find food in a cooperative way, each member of the group itself by learning experience and the experience of the other members to continuously change its search pattern.)

使用MATLAB编写的aBimRB神经网络算法，本程序根据训练好的网络文件JDBqGzE预测新的数据文件，得到算法的最差性能和最优性能，并绘制出预测数据和原数据的对比图。调试运行正常。 (Using MATLAB preparedaBimRB neural network algorithm, the program according to the trained network fileJDBqGzE anticipating new data files to obtain the best performance and the worst performance of the algorithm, and draw out the comparison chart data and predict the original data. Debugging and running properly. )

OFDM.simulation.by.matlabNguon tiensitranxuannamhocvienkythuatquansu

说明：  用于提取信号的时频域特征参数，比如信号均值、方差、以及一些无量纲的时域特征参数(Time-frequency domain characteristic parameters used to extract signals, such as signal mean, variance, and some dimensionless time domain characteristic parameters)

在matlab环境下基于傅立叶变换的图像压缩和反压缩(Matlab environment in Fourier transform-based image compression and anti-compression)

说明：  //实现K-means聚类算法 //包括main.m、distance.m、randCent.m、kMeans.m等四个matlab文件 //以及测试数据集(//Implementation of K-means clustering algorithm // including four matlab files: main.m, distance.m, randCent.m, kMeans.m, etc. //And test data sets)