channel-coding

利用COM组建的实现VC++与MATLAB的混合编程(COM realize the use of established VC++ Mixed with MATLAB Programming)

1．进一步掌握栈的基本操作的实现。 2．掌握栈在算术表达式的计算方面的应用。 (1. Further understand the basic operation of the stack implementation. 2. Control stack in the calculation of arithmetic expression applications.)

led入射fbg的反射谱和透射谱。功能齐全，三维图形(led the reflection spectrum and the incident fbg transmission spectrum. Fully functional, three-dimensional graphics)

particle filter paper in a code, a total of papers in the code implementation mentioned in matlab+ C

利用MATLAB计算矩阵并且实用PID控制来实现比例环节的控制 (MATLAB calculations and practical use of PID control matrix to achieve a proportional control)

vc和matlab混合编程，在vc中调用matlab的函数进行计算和处理，本程序中调用了matlab图像处理函数打开图像并进行灰度处理(vc and matlab mixed programming, matlab function calls are calculated and processed in the vc, the program calls the matlab image processing function to open and grayscale image processing)

dem差值计算，给定基础网格高程对相应空间迭代差值获得网格高程(dem difference calculation, given the appropriate space on the basis of the grid elevation difference of iterations to get the grid elevation)

《数学软件》实验指导书 实验一 matlab运算基础 实验目的： 熟悉matlab 编程环境，掌握建立矩阵的方法。 实验内容： (" Math software" guide book experiment experimental experimental one basic purpose of computing matlab: matlab programming environment familiar with the master set up the matrix method. Experimental contents:)

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)

含噪脉冲信号进行相关检测,高斯白噪声的生成程序，基于matlab平台实现。( Noisy pulse correlation detection signal, Gaussian white noise generator, Based on matlab platform.)