Desk221top

Sliding mode control implementation

it consists of a few tasks designing in matlab

说明：  两类二维相关正态分布条件下的最小错误率贝叶斯分类器，基于最小风险的贝叶斯分类器，Parzen窗法非参数估计分类器程序，Fisher线性判别法分类器程序。(Under normal conditions two types of two-dimensional correlation of minimum error rate of Bayesian classifier, the minimum risk-based Bayesian classifier, Parzen window method estimates non-parametric classification procedures, Fisher Linear Discriminant classifier program.)

关于边缘检测各种算法的比较研究，包括roberts，sobel，prewitt，LOG，canny等五种(Edge detection algorithms on the comparative studies, including roberts, sobel, prewitt, LOG, canny and other five)

eye picture示模型。修改高斯白噪声信道的SNR值可以看到不同情况下的eyepicture (eye picture show model. Modified Gaussian white noise channel SNR value can be seen under different circumstances eyepicture)

1-32是：图形应用篇 33-66是：界面设计篇 67-84是：图形处理篇 85-100是：数值分析篇 (MATLAB)

data compression using linear vector quantizer

基于扩展卡尔曼滤波的多通道带乘性噪声系统状态的仿真程序，对初学者可能会有很大帮助(Simulation program for multi-channel with multiplicative noise of the system state)

matlab code to implement fuzzy logic

说明：  粒子滤波，用于对模型数据进行寿命衰退的预测，或者用于衰退模型的饿跟踪预测等(particle filter)