sideband

时间序列数据分析中的梅林变换工具箱，可加载后直接调用里面的函数。(Time-series data analysis in the Mellin transform toolbox.)

提供數種回響演算法.利用6個平行的comb濾波器達成擬真的回響效果(Provides several reverberation algorithms. Use 6 parallel comb filter to achieve realistic reverb)

北大竞赛题,非常好的。好不容易才找到的东东！(North title race, very good. Hard to find the NEE!)

应用MATLAB基于元胞自动机的扩散限制聚集仿真(Diffusion limited aggregation )

飞行器纵向3自由度非线性动力学模型的线性化(Aircraft vertical 3-DOF nonlinear dynamic model linearization)

gentic algorithm still

matlab学习教程，从入门到精通，适合初学者，编程仿真介绍比较全面(Matlab tutorial, entry to the master, suitable for beginners, the program simulation introduced more comprehensive)

基于风光储多分布式电源研究设计的控制系统进行了实验研究(the designed control system is studied based on Wind-PV-Battery micro grid.)

LFM编码程序LFM编码程序LFM编码程序LFM编码程序LFM编码程序(ambugus)

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)