shang

spectral analysis smoothing filter

ch3=softt(h3,thr1 clear clc I=imread( lena512.bmp ) imshow(I) I=double(I) II=I+30*randn(size(I)) figure imshow(II,[]) [a1,h1,v1,d1]=dwt2(II, sym8 ) [a2,h2,v2,d2]=dwt2(a1, sym8 ) [a3,h3,v3,d3]=dwt2(a2, sym8 ) sigma=median(abs(d1(:)))/0.6745 x=3*sigma thr1=x*2^(-1) thr2=x*2^(-0.5) thr3=x 小波图像去噪( ch3=softt(h3,thr1 clear clc I=imread( lena512.bmp ) imshow(I) I=double(I) II=I+30*randn(size(I)) figure imshow(II,[]) [a1,h1,v1,d1]=dwt2(II, sym8 ) [a2,h2,v2,d2]=dwt2(a1, sym8 ) [a3,h3,v3,d3]=dwt2(a2, sym8 ) sigma=median(abs(d1(:)))/0.6745 x=3*sigma thr1=x*2^(-1) thr2=x*2^(-0.5) thr3=x )

现代信号处理教程书稿（胡广书）清华大学出版社 例程(Modern signal processing tutorial manuscript (Hu Guang book) routine)

该算法为最小均方误差滤波，对输入信号进行滤波，输出滤波后的波形和误差(The least squares algorithm, the input signal is filtered, and the filtered output waveform error)

循环MUSIC算法，利用循环自相关函数实现波达方向估计(Cyclic MUSIC algorithm, the use of cyclic auto-correlation function DOA estimates)

kmeans的matlab演示代码,挺好用(kmeans the matlab demo code, very good use)

波器直线型结构转化成别的形式,这是一种,还有别的转化 (Filter into other forms linear structure, this is a kind of, still have other transformation)

对数据进行层次分析，求出各个变量的权重，主要用于求最优方案(The data analysis hierarchy, work out the weight of each variable, mainly for the pursuit of the best scheme )

Matlab Sample code for 35 lessons

应用变量变化模拟非线性方程组均衡过程，其中参数可变，方程组可变，方程组的解用各种图像表示(Variable changes apply equalization process simulation of nonlinear equations, where the parameter variable, variable equations, solution of equations represented by the various images)