BallFretting190809

MATLAB的几个作图技巧MATLAB的几个作图技巧(MATLAB)

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)

中继增强的LTE-A蜂窝网络中路由方案的优化.pdf(Optimization .pdf relay enhanced LTE-A cellular network routing scheme.PDF)

IEEE9节点数据，可以用于电力系统潮流计算(IEEE9 node data can be used for power flow calculation)

非平稳信号分析。STFT变换及其MATLAB实现，Garbor展开、Choi-Williams分布、Wigner-Ville分布及其MATLAB实现。(Non-stationary signal analysis. STFT transform its MATLAB implementation, Garbor start, Choi-Williams distribution, Wigner-Ville distribution and its MATLAB implementation. )

研制了一套基于pulse多分析仪的声级计自动检定测试系统，主要介绍了系统的工作原理，实现方法及应用(the automatic measurement system of sound level meter is carried out,this system is built on the pulse multi-analyzer)

finding the shortest path algorithm

fdtd3D_UPML simulation

独立分量分析（ICA）以非高斯源信号为研究对象，在统计独立的假设下，对多路观测到的混合信号进行盲信号分离，已广泛应用于无线通信、生物信号提取、语音信号处理、图像处理和噪声抑制等领域。 (The independent component analysis (ICA) addresses non-Gaussian source signals under amusing independent each other, it performs blind separation for multi-channel observed signals. It has widely applied in wireless communication, biological signals extraction, audio signal processing, image processing, and noise reducing and so on.)

解耦，恢复原信号，利用matlab GUI实现的串口编程例子，matlab实现了五类灰色关联度模型的计算。( Decoupling, restore the original signal, Use serial programming examples matlab GUI implementation, matlab implements five gray correlation degree computing model.)