A_novel_feature_extraction_algorithm

运用统计理论进行均值、标准差、偏斜度、峰度等的计算(Application of statistical theory to the mean, standard deviation, skewness, kurtosis, etc. Calculation)

蚁群算法计算城市最短距离，matlab源代码(Ant colony algorithm is the shortest distance between cities,)

说明：  LMS算法的语音信号处理方面的仿真，也是我毕业论文中的(LMS algorithm for speech signal processing simulation)

matlab实例汇总，对于初学者是很好的学习资料(MATLAB examples)

LTE中PUCCH的reed muller译码(LTE in the reed muller decode PUCCH)

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。 BP（Back Propagation）神经网络是1986年由Rumelhart和McCelland为首的科学家小组提出，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(hidden layer)和输出层(output layer)。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years (Evolutionary Algorithm- EA). Kind, and simulated annealing algorithm PSO algorithm is similar evolutionary algorithms, it is also starting a random solution, through an iterative search for the optimal solution, which is also used to uate the quality through fitness solution, but it is simpler than genetic algorithm rules It has no genetic algorithm " crossover" (Crossover) and " variant" (Mutation) operation, which by following the current search to find the optimal value to the global optimum. This algorithm is its easy implementation, high accuracy, fast convergence, etc. attracted academic attention and show its superiority in solving practical problems. PSO algorithm is a parallel algorithm. BP (Back Propagation) neural network is a 1986 team of scientists headed by Rumelhart and McC)

matlab软件求解偏微分方程组的经典的有限差分程序代码(matlab software to solve the classic Partial Differential Equations Finite Difference code)

该程序首先利用小波变换，然后过滤噪音，最终实现图象边缘效果增强的功能(the procedure using wavelet transform, and then filter the noise, and eventually realizing Edge effects enhanced functionality)

COmmunication Information Chap I

使用MATLAB编程仿真分析ADC的SNR(ADC SNR analysis)