one-dimensional-search-

动画panda 有趣的动画设计，matlab的妙用(movie panda，some funny cartoon design，the utilization of matlab)

ofdma的一个简单的收发程序采用QPSK调制噪声是高斯白噪声(A simple transceiver of ofdma program using QPSK modulation noise is gaussian white noise)

这个是详细的粒子群算法代码。大家可以借鉴参考。(This is the detailed particle swarm optimization code. We can learn from the reference.)

一个matlab的跟踪小例子，功能很简单，容易理解(A small example of the tracking matlab for beginners to use, very simple)

particle swarm optimization codes

说明：  Non-Local Means Denoising Algorithm denoising source code

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)

机器人PID控制重要程序，内含控制率设计，重力补偿等(PID control program of robot)

SOR迭代法求线性行放程组。看来功能可以很好地饿实现，不过得自己编写方程组和向量(SOR stationary calculate the )

training a perceptron (ANN)