matlab1

说明：  和2DPSK相关的通信系统matlab仿真(2DPSK and related communications systems Matlab simulation)

自己编写的程序，产生Sierpinski衬垫图案,简易实现。附带在网上下载的两个Sierpinski程序供大家一起学习。(their preparation procedures have Sierpinski liner pictorial, simple to achieve. Fringe in the downloaded two Sierpinski procedures for all learning together.)

This matlab file is used to rounoff the decimals values into nearest whole number

十分有用的matlab参考书 主要关于图像处理方面的

基于burg算法实现的AR模型功率谱计算，算法已经仿真通过，有前向预测误差及后向预测误差，非常适合与学习加深现代谱估计的理论 (Burg algorithm to achieve the AR model power spectrum calculation algorithm has been through simulation, the forward prediction error and prediction error is ideal for learning to deepen modern spectral estimation theory)

包括压缩比、运行时间和计算复原图像的峰值信噪比,ML法能够很好的估计信号的信噪比,窗函数法设计一个数字带通FIR滤波器。( Including compression ratio, image restoration computing uptime and peak signal to noise ratio, ML estimation method can be a good signal to noise ratio, A window function design FIR digital band-pass filter.)

Test insertion of an abstract method in a superclass.

利用谱减法进行语音信号的降噪处理，适用于语音增强领域(Using spectral subtraction to reduce the noise of speech signal, it is suitable for the field of speech enhancement)

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 )

matlab环境下实现的二维图像的mallat小波算法的多进制小波分解(matlab environment to achieve the two-dimensional image of mallat wavelet multi-band wavelet decomposition algorithm)