cma

Matlab程序，包括lagrange、naspline和newton三种插值算法(Matlab program, including the lagrange, naspline and three newton interpolation algorithm)

说明：  用MATLAB对一语音信号进行小波分解，分别用强阈值，软阈值，默认阈植进行消噪处理。(MATLAB to a voice signal wavelet decomposition, respectively intensity threshold, soft threshold, the default threshold for planting Denoising.)

说明：  包含多章MATLAB典型程序与应用，对初学者很有帮助(Chapter contains more than the typical process and application of MATLAB, very helpful for beginners)

TransfoSat3limb_BH2Sat.m ,功率电子领域matlab仿真文件，已经验证过，程序运行正常(TransfoSat3limb_BH2Sat.m, power electronics matlab simulation files have been verified, the program runs correctly)

基于matlab模拟大学物理中的波形，以便观察其动态变化(University physics-based simulation matlab waveform in order to observe the dynamic changes)

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhar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。 (Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), and has Eberhar Dr. Dr. kennedy invention. Stems from the behavior of predatory birds, PSO with genetic algorithm is similar to an iterative optimization-based tools.)

标准粒子群算法，改进粒子群算法，希望大家能用上(Standard particle swarm optimization, improved particle swarm algorithm, hope everyone can be on the)

control point programm matlab

层次分析法（Analytic Hierarchy Process，简称AHP）是将与决策总是有关的元素分解成目标、准则、方案等层次，在此基础之上进行定性和定量分析的决策方法。该方法是美国运筹学家匹茨堡大学教授萨蒂于20世纪70年代初，在为美国国防部研究"根据各个工业部门对国家福利的贡献大小而进行电力分配"课题时，应用网络系统理论和多目标综合评价方法，提出的一种层次权重决策分析方法。(AHP (Analytic Hierarchy Process, referred AHP) is always the element of the decision-making related to broken down into goals, guidelines, programs and other levels, on this basis for decision-making qualitative and quantitative analysis. This method is the U.S. Operations Research Professor at the University of Pittsburgh Satie early 1970s, the U.S. Department of Defense for research, " according to various industrial sectors contribution to national welfare and power sharing" topic, application network systems theory multi-objective and comprehensive evaluation methods, the right to propose a hierarchical weight decision analysis methods.)

ica for machine learning classification neural networks