tutorialOpenCVPMatlab

matlab下载用到的激活文件，实在不知道怎么藐视(matlab download activation files used, it is not to know how contempt)

例4：在sinc(t)信号中叠加噪声，分析对应频谱 fs=100 采样频率,必须大于两倍基带信号最高频率 ts=1/fs 采样时间间隔 T=2 时间窗大小 ( x=x+0.1*randn(1,N) x=awgn(x,-10, measured ) figure plot(t,x) title( 时域信号图 ) xlabel( t /s ) y=fft(x,N) figure if mod(N,2)~=0 N=N-1 end f=linspace(0,fs/2,N/2) plot(f,abs(y(1:N/2))*2/N) title( 叠加噪声的sinc(t)信号频谱 ) xlabel( f /Hz ) figure y0=y(1:N/2) P=y0.*conj(y0)/N P=10*log10(P) plot(f,P) title( 功率谱 ) xlabel( f /Hz ) )

matlab与vc的混合编程说明，主要是如何配置环境，有详细的截图说明(the help for together using of matlab and VC6.0，including collocate environment and giving detailed illustrate )

通过VC++ 6.0实现STL文件的显示以及切片处理(Achieved through the VC++ 6.0 STL file handling display and sliced)

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

此程序为VC与matlab图像处理与识别实用案例精选的源码，内容详实，与大家分享。(This program is VC with matlab image processing and recognition of practical cases of selected source code, content, informative, and to share.)

MATLAB图像处理中的实力应用 ，在文字识别，车牌识别中有较为广泛的应用，第2部分(MATLAB image processing in the strength of applications, in character recognition, license plate recognition to have a fairly wide range of applications, Part 2)

simple merge sort program

基于多站纯方位被动定位算法仿真程序（分为CA模型和CA模型，经matlab command window运行通过）(Bearings based on multi-station passive location algorithm simulation program (divided into the CA model and CA model, the matlab command window run through))

test tapi applications