communications-sim

Codes for matlab problems and C++ school eork

这是关于UKF（无味卡尔曼滤波算法）算法的matlab程序(This is on the UKF algorithm matlab program)

有关 Filters 的毕业论文 电力电子方面的(About the thesis of power electronics Filters)

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)

用来操作HMC5883L 测量磁场和导航用(Used to measure the magnetic field operation and navigation with HMC5883L)

Branch line coupler design using Matlab

MATLAB编写的基于决策树的ID3算法实现，模式识别，人脸识别。压缩包中包含两个源文件和测试图片，ID3源文件为主代码，fi为求熵函数。(MATLAB prepared based on the ID3 decision tree algorithm, pattern recognition, face recognition. Compressed package contains two source files and test images, ID3-based source code files, fi for the sake of entropy.)

线性调频信号的脉冲压缩，合成孔径雷达（SAR）的第一个大作业的程序(the compression of chirp signal)

Lattice based RLS Algorithms using matlab with examples

一个BP神经网络的matlab仿真，经过训练的神经网络可以识别人脸的方向(A BP neural network matlab simulation, neural network trained to identify people face the direction of)