[例题]基于Bayes估计的传感器检测数据融合

利用8个传感器对一个恒温槽的温度进行测量,已知恒温槽温度满足正态分布置信距离矩阵D的python代码如下import scipy.integrate as integrateimport numpy as npxi = [848.1,850.5,851.9,849.9,854.6,849.3,848.0,848.3]xj = [848.1,850.5,851.9,849.9,854.6,849.3

郑建宇Jy

902人浏览 · 2022-03-10 20:41:57

郑建宇Jy · 2022-03-10 20:41:57 发布

利用8个传感器对一个恒温槽的温度进行测量,已知恒温槽温度满足正态分布

置信距离矩阵D的python代码如下

import scipy.integrate as integrate
import numpy as np
xi = [848.1,850.5,851.9,849.9,854.6,849.3,848.0,848.3]
xj = [848.1,850.5,851.9,849.9,854.6,849.3,848.0,848.3]
di = [25.73,23.81,24.95,25.75,35.65,21.33,23.94,22.96]
for i in range(8):
    n = np.sqrt(2 * di[i])
    list = [((xj[j] - xi[i] ) / n) for j in range(8)]
    #print(list)
#print(list)
    for k in range(8):
        result = integrate.quad(lambda x: np.exp(-x**2)*2/3.1415926, 0, list[k])
        print(result)