在MATLAB OQPSK解调方案。

正交频分复用是一种多载波宽带数字调制技术。相比一般的数字通信系统， 它具有频带利用率高和抗多径干扰能力强等优点，因而适合于高速率的无线通信系统。( OFDM Simulator -------------------------------------------------------------------------------- MIMO OFDM Simulator: OFDM.m: OFDM Simulator (outer function) create_channel.m: Generates a Rayleigh fading frequency-selective channel, parametrized by the antenna configuration, the OFDM configuration, and the power-delay profile. svd_decompose_channel.m: Since full channel knowledge is assumed, transmission is across parallel singular value modes. This function decomposes the channel into these modes. BitLoad.m: Apply the bit-loading algorithm to achieve the desired bit and energy allocation for the current channel instance. ComputeSNR.m: Given the subcarrier gains, this simple function generates the SNR values of each channel (each singular value on each tone is a separate channel). chow_algo.m: Apply Chow s algorithm to generate a particular bit and energy allocation. EnergyTableInit.m: Given the SNR values, form a table of energy increments for )

This m-file generates all the m-sequences of length 31.To generate the m-sequence of length 31 we use Primitive polynomial of degree 5.There are three primitive polynomial of degree 5, so there will be 3 different m-sequences of length 31.

该程序是使用Matlab仿真协同通信的DF（解码转发）基本性能，基本模型S-R-D三个节点，接收端使用MRC（最大比合并）。固定DF由于SR信道的错误，其性能受到限制，在大SNR情况下不能获得有效分集。而当SR距离足够近的时候，可能获得一定的分集增益。(AF and DF simulation procedure code)

说明：  多智能体协同控制的一本著作，非常适合初学的同学进行学习。(A book on multi-agent cooperative control, very suitable for beginners to learn.)

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指纹识别matlab 代码，实现增强，二值化，细化功能(Fingerprint recognition matlab code)

说明：  这是作者自己编写的基于matlab语言的程序设计。遗传算法的函数优化 应用。 (is prepared by the author himself on the Matlab programming language. Genetic Algorithms Optimization applications.)

利用matlab模拟光纤中TE模的模式分布图。(Using matlab simulation model TE mode fiber distribution.)

此程序为工程应用中的平面四边形八节点等参数单元，较为简单(This program for engineering applications in flat quadrilateral eight-node parameters such as units, a relatively simple)

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(（Evolu2tionary Algorithm - EA）。PSO 算法属于进化算法的一种，和遗传算法相似，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。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years ((Evolu2tionary Algorithm- EA) .PSO algorithm is an evolutionary algorithm, and similar genetic algorithm, it is also starting random solutions, through iterative search for the optimal solution, which is also uated by the quality of the fitness solution, but it is much simpler than genetic algorithms rule, it does not have the genetic algorithm cross (Crossover) and variant (Mutation) operation, which by following the current search to find the optimal value to the global optimum. the algorithm for its easy implementation, high accuracy, and fast convergence advantages attracted academic attention, and in solving practical problems demonstrated its superiority.)