modulation

本程序为实现LDPC编码和STBC，STBC采用2发2收天线，希望对大家有一定的帮助。(implement an STBC encoding/decoding scheme, LDPC coding before modulation and STBC next to decode them. )

多井过程中的井筒计算，以及注采过程中的相关参数(Multi-well process wellbore calculations, and injection process parameters)

搭建SISO收发系统，BPSK调制与解调，在白高斯信道下仿真系统BER性能。(Build SISO transceiver system, BPSK modulation and demodulation, the white Gaussian channel simulation system BER performance.)

rt logic floue mppt po psoo and mp

jpeg在matlab下的实现详细过程，有需要的朋友请下载(jpeg in matlab to achieve under the process in detail, there is a need friends please download)

说明：  基于matlab开发的pso程序，并且加以改造运用到软测量中，效果不错，大家可以(Matlab-based development PSO procedures, and to transform the use of soft measurement, worked quite well. we can s)

说明：  详细介绍了一种新的仿真软件IT++ 比matlab有更快的执行效率 (Introduced a new simulation software IT++ faster than the efficiency with matlab)

说明：  1.相关分析法辨识系统程序。2.方波响应与阶跃响应的互相转化的通用程序。3.获取系统模型阶次的函数。4.levy方法辨识系统的函数。5.将相关分析法的辨识结果转成频率响应的程序((1) analysis Identification System program. 2 square wave response and step response of the general program of mutual transformation. (3) for the function of the system model order. 4.levy method recognize the function of the system. The identification of the relevant analysis results converted to the frequency response of the program)

solving TSP problem with SA

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。(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.)