mmgauss

说明：  KPCA的提出者亲自写的程序。是一份很值得收藏的经典代码。(KPCA the author himself procedures. It is a very worthwhile collection of classic code.)

说明：  风力发电中MPPT的实现，采用扰动观测法实现。(Implementation of wind power in the MPPT, the use of disturbance observer method implementation.)

采用粒子群算法对单时段的机组组合进行寻优。(Particle swarm optimization (PSO) is used to optimize unit commitment in a single period of time.)

伽利略BOC(1，1)信号和GPS C/A码信号的功率谱密度的比较(Comparison of power spectral density of the Galileo BOC (1,1) signal and the GPS C/A code signal)

matlab 编程 教材 国外电子类学科matlab编程入门指南，英文影印版(matlab programming electronics disciplines teaching abroad matlab Programming Guide, English version of a photocopy)

6自由度puma机器人仿真程序源码。This is PUMA3d.M, a 3D Matlab Kinematic model of a Puma robot located in the robotics lab of Walla Walla University. The file uses CAD data converted to Matlab using cad2matdemo.m, which is located on the Mathworks central file exchange. ％ ％ This file is still being developed, for the latest version check the ％ Mathworks central file exchange.(6-DOF robot simulation program puma source. This is PUMA3d.M, a 3D Matlab Kinematic model of a Puma robot located in the robotics lab of Walla Walla University.The file uses CAD data converted to Matlab using cad2matdemo.m, which is located on the Mathworks central file exchange. This file is still being developed, for the latest version check the Mathworks central file exchange.)

空时码源程序。主要是matlab环境下，生成空时分组码(Space-time code source. Matlab environment is mainly to generate space-time block codes)

说明：  一个基于小波变换的边缘检测程序。采用matlab编写的M文件(One based on wavelet transform edge detection procedure. Prepared using M-file matlab)

mfcc用matlab编程实现，12阶参数(mfcc, used in matlab)

说明：  贝叶斯方法将所有参数看作随机变量，将未知参数的先验信息与观测数据综合，再由贝叶斯定理求算出后验概率分布，进而根据后验分布去推断未知参数。(Bayesian method regards all parameters as random variables, synthesizes the prior information of unknown parameters with observation data, calculates the posterior probability distribution by Bayesian theorem, and infers unknown parameters according to the posterior distribution.)