K-negibour-method

OFDM技术做为4G的关键传输技术，得到了广泛重视。本matlab文件为适合于OFDM系统的动态子载波分配算法。目的是提高频谱使用效率。(dynamic sub-carrier allocation(matlab))

说明：  薛定宇《高等应用数学问题的MATLAB求解》(On Compensation &quot Higher Mathematics MATLAB to solve the problem&quot )

It is a program for State Feedback H Controller design for continuous time system based lmi approach.

matlab拓展编程，本书以matlab扩展编程及其应用实例为主线，以matlab与c、visual basic、excel、网络和硬件接口为核心，采用图文并茂的方式，系统介绍了matlab的新特性(matlab to expand programming, book matlab expansion of the programming and its application examples the main line, as the core of matlab and c, visual basic, excel, network and hardware interface, using illustrated the way, the system introduces the new features of the matlab)

由于求解中国邮递员、优化等图论问题的Matlab程序，还有相关的工具箱。(Since solving the Chinese postman, graph theory and optimization problems in Matlab, as well as the associated toolbox. )

system identification(IGLS2)

用Romberg法求积分计算准确，while循环次数一般不超过10，运算较为方便、快捷；计算之前，需要给出所求函数的表达式，积分上限和下限以及误差范围。运用MATTLAB程序求解积分省时、省力。(用Romberg法求积分计算准确，while循环次数一般不超过10，运算较为方便、快捷；计算之前，需要给出所求函数的表达式，积分上限和下限以及误差范围。运用MATTLAB程序求解积分省时、省力。用Romberg法求积分计算准确，while循环次数一般不超过10，运算较为方便、快捷；计算之前，需要给出所求函数的表达式，积分上限和下限以及误差范围。运用MATTLAB程序求解积分省时、省力。自动检测中英文中译英英译中百度翻译. 翻译结果（中 > 英）复制结果 Using Romberg method for integral calculation accuracy, while cycle number less than 10, operation more convenient, fast calculation before, given the need for function expression, integral upper and lower as well as the error range. Using MATTLAB program to solve the integral time saving, labor saving.)

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)

16QAM误码率曲线在MATLAB环境中的仿真代码(16QAM BER curves in the MATLAB environment simulation code)

LDA简单的小程序，线性判别，用于分类的(LDA simple little program, linear discriminant for classification)