编程实践题目-矩阵分解
一、穆勒矩阵构成
穆勒矩阵是一个4*4的矩阵，完整描述了介质的偏振属性。可通过水平线偏振光H、垂直线偏振光V，45°线偏振光P，右旋圆偏振光R入射，并分别探测水平线偏振光H、垂直线偏振光V，45°线偏振光P，右旋圆偏振光R出射情况下的能量值，即16种偏振态组合下的强度结果，HH/ HV/ HP/ HR，PH/ PV/ PP/ PR，VH/ VV/ VP / VR和RH/ RV/ RP/ RR。进而Mueller矩阵可按照公式（1）计算得到：(First, the Muller matrix The Muller matrix is a 4*4 matrix that completely describes the polarization properties of the medium. The horizontal line, vertical line polarized light polarized light H V, 45 degrees P linearly polarized light, right circularly polarized incident detection and R, respectively, H vertical horizontal line polarized light polarized light V, 45 degrees P linearly polarized light, right circularly polarized light R emitted under the condition of energy intensity results of 16 kinds of polarization combinations HH/ HV/, HP/ HR, PH/ PV/ PP/ PR VH/, VV/ VP and RH/ RV/ RP/ RR / VR. Furthermore, the Mueller matrix can be calculated according to formula (1):)
- 2017-07-02 17:00:55下载
- 积分：1
lsm-rbf
说明： 一种最小二乘法的RBF网络
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radical basis function neural network
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clear all
close all
global sp k w2 b2 unitcenters
alldatanum=400
traindatanum=300
testdatanum=100
sp=8
errorlimit=0.1
u=rand(1,alldatanum+10)
y=zeros(1,alldatanum+10)
for i=4:alldatanum+3
y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+...
y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。(radical basis function neural network
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clear all
close all
global sp k w2 b2 unitcenters
alldatanum=400
traindatanum=300
testdatanum=100
sp=8
errorlimit=0.1
u=rand(1,alldatanum+10)
y=zeros(1,alldatanum+10)
for i=4:alldatanum+3
y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+...
y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。)
- 2011-04-13 10:26:06下载
- 积分：1
