gaossal

用于speech enhancement的经典噪声估计源代码完整，可直接使用。(Classical speech enhancement for noise estimation complete source code can be used directly.)

要求：从x(t)=sin(2*pi*5*t)+sin(2*pi*200*t)+sin(2*pi*50*t)信号中滤出频率为5Hz的信号(Requirements: from x (t) = sin (2* pi* 5* t)+ sin (2* pi* 200* t)+ sin (2* pi* 50* t) signal to filter out the signal frequency of 5Hz)

说明：   采用一种不完全的微分算法，被控对象为时滞系统。对象的输出端加的随机信号，幅值0.01.采样时间是20ms。(PID Controler with Partial differential)

matlab knn图构建以及局部线性重构加权方法(graph construction of KNNG and locally linear reconstruction for weighting the edges of knng)

按UTM投影（或高斯投影）方式，将星下点轨迹图投影到地图坐标上 (By UTM projection (or Gaussian projection) mode, the ground track diagram projected onto the map coordinates)

MATLAB程序设计语言，遗传算法matlab应用(MATLAB programming language, genetic algorithm matlab application)

用于C#调用matlab的计算功能，通过matlab的m文件生成DLL进行调用(For C# calculation function call matlab matlab m file generated DLL call)

说明：  三相三电平中性点 箝位型( NPC) 逆变器的改进无模型预测电流控制(Improved model free predictive current control of three-phase three-level neutral point clamped (NPC) inverter)

Stop-and-wait ARQ is a method used in telecommunications to send information between two connected devices. It ensures that information is not lost due to dropped packets and that packets are received in the correct order. It is the simplest kind of automatic repeat-request (ARQ) method. A stop-and-wait ARQ sender sends one frame at a time it is a special case of the general sliding window protocol with both transmit and receive window sizes equal to 1. After sending each frame, the sender doesn t send any further frames until it receives an acknowledgement (ACK) signal. After receiving a good frame, the receiver sends an ACK. If the ACK does not reach the sender before a certain time, known as the timeout, the sender sends the same frame again.

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)