timing_recovery

基于2D和红外的异类传感器的数据融合算法，滤波器选用EKF扩展卡尔曼滤波(Based on the heterogeneous 2D and infrared sensor data fusion algorithm, filter selection EKF extended Kalman filter)

一个非常简单的遗传算法源代码，是由Denis Cormier (North Carolina State University)开发的，Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少，实际上也不必查错。对一特定的应用修正此代码，用户只需改变常数的定义并且定义“评价函数”即可。 (A very simple genetic algorithm source code, is Denis Cormier (North Carolina State University) developed, Sita S. Raghavan (University of North Carolina at Charlotte) amendment. Code to ensure as little as possible, in fact, do not have to troubleshooting. The application of a specific amendment to this code, the user simply changes the definition of constants and the definition of " merit function" can be.)

用romberg方法计算定积分，数值积分的一种常用方法(use romberg method)

利用三角分解法这一算法，根据求得的电力系统节点导纳矩阵，求其相应的阻抗矩阵。本程序为IEEE经典算例009节点的程序，程序中附有解释性说明.稍加修改，可以适用于IEEE算例中任意节点。(Using the triangular decomposition algorithm, according to the obtained power system nodal admittance matrix, find the corresponding impedance matrix. The classic example is the program for the IEEE 009 node program, the program accompanied by an explanatory note. Slightly modified, can be applied to any node in the IEEE study.)

关于Matlab的１００个经典例子，对学习Matlab会有很大帮助！(Matlab on the 100 classic example of learning Matlab will be of great help!)

在matlab中，rbf模糊神经网络的程序(In matlab, rbf neural network program)

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)

毕设可能会用到的很好用的mimo程序，很重要计算信道的(Completed the set may be used with MIMO program, it is important to calculate the channel)

基于matlab的RLS算法的自适应滤波器(RLS algorithm of adaptive filter based on matlab)

this code about mashin learning