adaboost

LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h *p1 计算维纳解时最小均方误差 u=1/sum(eigs(R)) ( LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h*p1 计算维纳解时最小均方误差 u=1/sum(eigs(R)) )

语音信号的短时分析源程序代码，用matlab编写！(Speech signal short time analysis)

K-Means聚类算法 Matlab代码，内有程序注释。(K-Means Matlab)

This is matlab source files for implementing haffman codes

Real-time Recognition System of Traffic Light in Urban Environment Abstract—detection of arrow traffic light is a focal point research in autonomous vehicle, and in urban environment it is the basic technique. However, most researches mainly concern the circular traffic lights. A novel algorithm is proposed in this paper to resolve the problems of detection and recognition of arrow traffic lights.

采用复小波变换提取小波脊线，可较好识别频率(Using complex Wavelet transform Wavelet Ridge can better identify the frequency)

Moving average in 1D and 2D

田纳西伊斯曼过程的matlab仿真模块 直接操作即可产生数据 希望对初学者能有帮助 并且可以找到对应的经典文献(Tennessee Eastman process of matlab simulation module direct operation can produce data hope to help beginners can and you can find the corresponding classical literature )

this is a array test code running on windows

多通道盲卷积实现图像超分辨率重建 效果不错 (Blind convolution multiple images super-resolution)