ladregression.rar

实现了给予人脸的特征提取与模式识别，是模式识别中比较经典的实例分析(Achieved a given facial feature extraction and pattern recognition, is the more classic examples of pattern recognition analysis of)

灰色人鱼算法Grey Mermaid algorithm(Grey Mermaid algorithm)

关于遗传算法的matlab软件实现，里面有三个遗传算法的matlab编程程序。(Matlab genetic algorithm implemented in software, there are three genetic algorithm Matlab programming procedures.)

在目标为1的假设下，应用relax算法进行目标超分辨成像(The assumption that the target was 1, applying relax super-resolution imaging algorithm for target)

基于MATLAB/SIMULINK模块，搭建了基于下垂控制策略的海洋波浪发电系统的仿真模型(Based on MATLAB/SIMULINK module, built a simulation model based control strategy drooping ocean wave power generation system)

一个boost压缩包，里面有三个boost仿真，通过单闭环控制(A boost compressed, there are three boost simulation, a single closed-loop control)

说明：  一种基于MATLAB的MSK软件解调方法 介绍数字调制信号的发展过程和MSK的调制解调原理，提出了一种基于MALTAB的MSK 解调方法，并进行了仿真实验，实验结果证明了该方法的有效性。(MATLAB-based software demodulation of MSK digitally modulated signals to introduce the development process and the principle of modulation and demodulation of MSK, a MALTAB based on the MSK demodulation method, and the simulation results, experimental results show that the method effectiveness.)

matlab编程实例，各种仿真，经典仿真实例(matlab programming examples, a variety of simulation, simulation of the classic examples)

Matlab functions implementing non-parametric local linear smoothing (LLS) for one-dimensional curve fitting: yi = f(xi) + ei for i = 1, 2, ..., n. The toolbox contains: (i) the usual LLS estimator, see e.g. [1] (ii) a jump-preserving (two-sided) LLS estimator proposed in [2] (iii) a modified version of the two-sided LLS proposed in [3].(Matlab functions implementing non-parametric local linear smoothing (LLS) for one-dimensional curve fitting: yi = f(xi)+ ei for i = 1, 2, ..., n. The toolbox contains: (i) the usual LLS estimator, see e.g. [1] (ii) a jump-preserving (two-sided) LLS estimator proposed in [2] (iii) a modified version of the two-sided LLS proposed in [3].)

带有markov链的灰色系统程序，自己编写的，效果不是特别的明显，但以改小误差(Grey theory model with markov chain to do prediction!)