matlab

M=512 原图像长度 N=64 K=8 I=zeros(M,M) J=zeros(N,N) BLOCK=zeros(K,K) 显示原图像 I=imread( f:ceshiyuanshitu.bmp ) figure imshow(I) xlabel( 原始图像 ) 显示水印图像 J=imread( f:ceshilogistic_nuaa64.bmp ) figure imshow(J) xlabel( 水印图像 ) 嵌入水印 tem=1 for p=1:N for q=1:N x=(p-1)*K+1 y=(q-1)*K+1 BLOCK=I(x:x+K-1,y:y+K-1) BLOCK=dct2(BLOCK) if J(p,q)==0 a=-1 else a=1 end BLOCK(2,1)=BLOCK(2,1)*(1+a*0.01) BLOCK=idct2(BLOCK) I(x:x+K-1,y:y+K-1)=BLOCK end end 显示嵌入水印后的图像 figure imshow(I) xlabel( 嵌入水印后的图像 ) imwrite(I, f:ceshiembedded.bmp )

End point detection" I implemented an algorithm for detecting start and end point of the word sequence in speech. In this way the Rabiner method, used to perform this work

说明：  利用matlab实现基于小波的图像增强以及去噪，效果很好(Using matlab wavelet-based image enhancement and denoising, the effect is very good)

说明：  Matlab下用压缩感知恢复一维信号(正交匹配追踪法)(Matlab recovery under the one-dimensional compressed sensing signal (orthogonal matching pursuit method))

matlab混合编程,入门与提高必备的文档(matlab & VC++)

利用最近邻域标准滤波器（NNSF）和概率数据互联滤波器（PDAF）进行航迹绘制并进行相互比较。(Use nearest neighbor standard filter (NNSF) and probabilistic data association filter (PDAF) be drawn and compared with each other track.)

pca matlab pca matlab

模糊聚类分析,常规的聚类方法，可以使用于经济、生物、社会调研等各方面分类(fuzzy clustering)

主要用于直线检测，可以检测多条直线，但参数设置不好的话，效果并不是很好(Line detection)

Balanced PSO,可作为benchmark比较(You campare your algorithm with it.)