A

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 )

qam16位离散牛顿法数字预失真程序，经过测试能够正确完成，效果良好。(qam16 discrete Newton method digital pre-distortion and tested correctly to good effect)

说明：  对图像进行频域的低通滤波（包括理想低通、布特沃斯低通、高斯斯通）滤波）、高频强调滤波，并给出滤波后的图像和频谱(The image is filtered by low-pass filter in frequency domain (including ideal low-pass, butworth low-pass, Gaussian stone filter) and high-frequency emphasis filter, and the filtered image and spectrum are given)

异步变化的学习因子的粒子群算法，学习因子在优化过程中随时间变化(AsyLnCPSO)

说明：  普通机床改造成数控机床,是学生毕业也是经常遇到的课题.(Transformed into ordinary CNC machine tools, graduate students are also frequently encountered issues.)

sensitivity based capacitor placement using cuckoo search algorithm for maximum annual savings

说明：  　尺度不变特征转换(Scale-invariant feature transform 或 SIFT)(Scale Invariant Feature Transform (Scale-invariant feature transform, or SIFT))

基于 matlab 的三角分解法，推荐(based on Matlab 1.3 decomposition method, recommended!)

基于matlab的卷积积分 有具体的程序和分析说明 对大家很有用(Based on the convolution integral matlab there are specific procedures and analysis for all of us very useful)

好的 例子 希望 大家 对大家有用 (very good)