diffrent_sidelobe

冈萨雷斯数字图像处理matlab源代码含有大量的源代码程序，方便学生的学习和查找。(Gonzalez digital image processing matlab source code contains a lot of source code program to facilitate student learning and search.)

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)

matlab编写的盲信道估计程序，对进行信道估计的朋友有用。(matlab prepared blind channel estimation procedures, the channel estimation friends helpful.)

将数据调制为wifi传输制式的波形，支持BPSK，QPSK，QAM等调制。配置安捷伦E4438C矢量信号发生器，输出带载波的wifi信号(The data transmission system of the modulation waveform for the wifi support BPSK, QPSK, QAM modulation, etc.. Configure the Agilent E4438C vector signal generator, the output signal with a carrier wifi)

matlab c++对接matlab c++对接(matlab c++)

两种图像重建质量判定方法，全图熵（ENT）和目标杂波比（Target to clutter ratio）。(Two criterion for image reconstruction,full image entropy and target to clutter ratio)

光子晶体的电场的分布图的程序，可以显示场的分布图。(The program of the distribution of electric field in photonic crystals)

航空涡轮发动机气动力学建模计算，希望对大家有所帮助(Aviation turbine engine gas dynamics modeling, we hope to help)

极大似然估计器用于简单通信系统模拟,估计A1,A2: s1 = x11*A1 + x12*A2 s2 = x21*A1 = x22*A2 r1 = s1 + n1 r2 = s2 + n2(Maximum likelihood estimator for a simple communication system simulation, it is estimated that A1, A2: s1 = x11* A1+ x12* A2 s2 = x21* A1 = x22* A2 r1 = s1+ n1 r2 = s2+ n2)

filter bank for face recognition