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这是一个PCA的练习题，即主成分分析，用于数据将维，将高维大数据降为低维数据。是一种高效率的数据处理方法。(This is a PCA exercises, namely principal component analysis for data-dimensional, high-dimensional data is reduced to a large low-dimensional data. Is a highly efficient method of data processing.)

用c++编的matlab曲线拟合程序,都是老师布置的数值分析作业!希望和大家交流.谢谢网站提供这个平台!(c addendum to the use of curve fitting procedures Matlab, Layout of the teachers are numerical analysis operations. We hope and exchanges. Thank you for providing this platform!)

这个目标函数的最值，希望对大家有帮助！(the objective function value the most, and I hope to be helpful! Thank you)

a power point tutorial demonstrate adaptive modulation

汉明码的编码和译码，误码统计等。程序里有详细的编写说明。(Hamming code encoding and decoding, error statistics. Procedures in the preparation of detailed instructions.)

进行多项式拟合曲线和参数，给出数据和m文件(Polynomial curve fitting and parameters, given the data and m files)

利用MATLAB对跳频通信系统进行仿真，包括源程序，框图，仿真结果等(The use of MATLAB for simulation of frequency-hopping communication systems, including source code, diagram, simulation results)

统计信号处理的一个Matlab工具箱，有参考价值(Statistical Signal Processing, a Matlab toolbox, have reference value)

matlab具体应用，在数字图像处理中常会用到的具体实例，资料中负有源码。(matlab specific applications, the frequently used in digital image processing specific example, the data source in the responsibility.)

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)