Power-Electronics-Handbook

WPSNR: Weight Peak Signal to Noise Ratio

精通MATLAB7.0，北航的张志涌著作(Proficient in MATLAB7.0, Beihang writings of Zhang Yong)

matlab code for extraction of colour features

BPX神经网络在matlab开发环境中的实现实例，有利于初学者学习与掌握(BPX neural network in the matlab environment development to achieve the example, be helpful for beginners to learn and master)

基于matlab编制的地震波转反应谱程序，动力分析用的线性加速度法。(Based on matlab programming turn seismic response spectrum and dynamic analysis with the linear acceleration method.)

用matlab 作卡尔曼滤波实验。讲解的步骤清楚，简单易懂(ka er man lv bo)

利用Crank-Nicolson隐式差分格式求解抛物型偏微分方程，matlab程序代码(Crank-Nicolson implicit difference scheme)

用matlab实现的最小二乘拟合圆，能输出半斤，圆心坐标，拟合误差等等(a program for cirfit)

能量效率相关通信文档，MIMO技术相关，能效定义(An information-theoretic look at MIMO energy-effi cient communications- valuetools-belmega-lasaulce_final)

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。(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.)