Arebic_speech

包括：用基本粒子群算法求解无约束优化问题，用带压缩因子的粒子群算法求解无约束优化问题，用线性递减权重粒子群优化算法求解无约束优化问题，用自适应权重粒子群优化算法求解无约束优化问题，用随机权重粒子群优化算法求解无约束优化问题，用学习因子同步变化的粒子群优化算法求解无约束优化问题，用学习因子异步变化的粒子群优化算法求解无约束优化问题，用二阶粒子群优化算法求解无约束优化问题，用二阶振荡粒子群优化算法求解无约束优化问题(Include: using the particle swarm algorithm for unconstrained optimization problems, with compression factor of particle swarm algorithm for solving unconstrained optimization problem with linear decreasing weight particle swarm optimization for unconstrained optimization problems, an adaptive weight particle swarm optimization unconstrained optimization problems, random weight particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor synchronous change of particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor asynchronous changes in particle swarm optimization algorithm for solving unconstrained optimization problem , with the second particle swarm optimization for unconstrained optimization problems, with the second-order oscillating particle swarm optimization algorithm for unconstrained optimization problem)

LEM-3D-MATLAB,不错的代码，希望有所帮助(Lattice Boltzmann Method )

(median) Non-Linear Filtering of Images.

水文趋势、突变点分析的matlab相关程序——Lee-Heghinan法、Mann-Kendall法(Hydrological trends point mutation analysis matlab procedures- Lee-Heghinan France, Mann-Kendall method)

针对初学者的simulink 的建模与仿真，详细讲述系统仿真原理(Simulink modeling and simulation for beginners, and a detailed account of the principles of system simulation)

语谱图的实现过程，对于初学者有很大的帮助(Spectrogram of the realization of the process, very helpful for beginners )

Puma560 DH coordinate. It calculates the position of the end effector with respect to the base coordinate.

很简单实用的一段边缘检测的matlab程序，请各位指正。(A very simple and practical procedures for edge detection matlab, please correct me.)

matlab的部分编程实例，可以为大学相应课程提供参考。(matlab part of the programming examples, can provide a reference for university courses accordingly.)

用matlab编程实现的有向图图形图像的原代码实现，请各位指点(Using matlab programming has realized the graphic image of the original code, please give pointers)