agh_chapter04

说明：  matlab 利用fisher线形判别方法进行模式识别(Matlab using linear discriminant method for pattern recognition)

包含4个高斯分量信号的PWD，比wvd具有更好的性能(Contains 4Gauss component signal PWD, WVD has better performance than)

Random embedding of an image in an image

this is the simulation of wind farm

说明：  视频帧序列实现基于GMM（高斯混合模型）的背景建模(Video frame sequence implementation based on GMM (Gauss mixture model) background modeling)

其余混沌的数字图像置乱。该算法利用混沌对初值的敏感性，算法是想简单。(The rest of Chaos Digital Image Scrambling. The algorithm using the sensitivity of chaos to the initial value, the algorithm is to simple.)

用于现代信号分析与处理课程，系统辨识、维纳滤波和自适应滤波(Used in modern signal analysis and processing programs, system identification, Wiener filtering and adaptive filtering)

MATAL的一个练习包 用于新手的初次尝试(MATAL of a practice package for the novice first attempt)

自适应均衡算法，常模算法，固定步长，变步长盲均衡算法(Adaptive equalization algorithms, the norm algorithm)

用凯瑟窗设计一个数字带通滤波器，设计指标为 低阻带：ws1=0.2pi,as=70dB, 低通带：wp1=0.35pi,ap=1dB, 高通带：wp2=0.65pi,ap=1dB, 高阻带：ws2=0.8pi,as=60dB( Kaiser window design with a digital band-pass filter design specifications for the Low resistivity zone: ws1 = 0.2pi, as = 70dB, Low-pass band: wp1 = 0.35pi, ap = 1dB, High-pass band: wp2 = 0.65pi, ap = 1dB, Impedance with: ws2 = 0.8pi, as = 60dB )