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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.)

真的是一个好程序，LDPC码的完整的编译码，matlab编写的元胞自动机。( Really is a good program, Complete codec LDPC code, matlab prepared cellular automata.)

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)

利用基尔霍夫（KA）驻留相位近似求解粗糙面散射系数(Use the Kirchhoff (KA) stationary phase approximation solution of rough surface scattering coefficient)

这是DMC2210控制卡的软件使用手册，通过该手册开发人员可以了解DMC2210控制卡的编程要求，规格等，为编程做好准备。(This is DMC2210 control card software manuals, through which developers can learn manual programming requirements DMC2210 control card, specifications, etc., to prepare for the program.)

关于紫外光语音通信系统的大气信道的仿真程序（MATLAB实现）(UV-voice communications systems on the atmospheric channel simulation program (MATLAB implementation))

contourlet变换的mmatlab工具包 (the contourlet transform the mmatlab of Kit)

系统模型辨识中使用维纳滤波器，并对SDA,LMS和RLS算法作比较(system modeling realization using winner filtering ,steepest descend alogrithm,LMS algorithm,RLS algorithm)

Matlab教程第7章，编程与数据分析、整理(Matlab Guide Chapter 7, programming and data analysis, sorting)

编程,逆向及数据分析 编程逆向及数据分析. :数据分析的几个方面的经验总结.(Programming, reverse and data analysis 编程逆向及数据分析. Programming of reverse engineering and data analysis :数据分析的几个方面的经验总结. : data analysis of several aspects of the experience )