在曲线拟合过程中，参数的协方差无法估计。

相关文章推荐

健身的莴苣 · Oracle ...· 1 年前 ·

帅气的酱牛肉 · sql varchar转datetime-掘金· 1 年前 ·

英姿勃勃的烤面包 · 使用R语言根据两点坐标画直线？ - 知乎· 1 年前 ·

耍酷的抽屉 · 2022年推荐给Web开发人员的十大VSCo ...· 2 年前 ·

玉树临风的冲锋衣 · 深入了解strcpy和memcpy的区别 - 知乎· 2 年前 ·

p_freqs =np.array(0.,8.19672131,16.39344262,24.59016393,32.78688525,
                  40.98360656,49.18032787,57.37704918,65.57377049,73.7704918,
                  81.96721311,90.16393443,98.36065574,106.55737705,114.75409836,
                  122.95081967,131.14754098,139.3442623, 147.54098361,155.73770492,
                  163.93442623,172.13114754,180.32786885,188.52459016,196.72131148,
                  204.91803279,213.1147541, 221.31147541,229.50819672,237.70491803,
                  245.90163934)
p_fft_amp1 = np.array(3.34278536e-08,5.73549829e-08,1.94897033e-08,1.59088184e-08,
                      9.23948302e-09,3.71198908e-09,1.85535722e-09,1.86064653e-09,
                      1.52149363e-09,1.33626573e-09,1.19468040e-09,1.08304535e-09,
                      9.96594475e-10,9.25671797e-10,8.66775330e-10,8.17287132e-10,
                      7.75342888e-10,7.39541296e-10,7.08843676e-10,6.82440637e-10,
                      6.59712650e-10,6.40169517e-10,6.23422124e-10,6.09159901e-10,
                      5.97134297e-10,5.87146816e-10,5.79040074e-10,5.72691200e-10,
                      5.68006964e-10,5.64920239e-10,5.63387557e-10)
def  cal_omiga_tstar(omiga,tstar,f):
    return omiga*np.exp(-np.pi*f*tstar)/(1+(f/18.15)**2)
omiga,tstar = optimize.curve_fit(cal_omiga_tstar,p_freqs,p_fft_amp1)[0]

import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
import numpy as np
# Changed here, was "np.array(0.,..."
p_freqs =np.array([0.,8.19672131,16.39344262,24.59016393,32.78688525,
                  40.98360656,49.18032787,57.37704918,65.57377049,73.7704918,
                  81.96721311,90.16393443,98.36065574,106.55737705,114.75409836,
                  122.95081967,131.14754098,139.3442623, 147.54098361,155.73770492,
                  163.93442623,172.13114754,180.32786885,188.52459016,196.72131148,
                  204.91803279,213.1147541, 221.31147541,229.50819672,237.70491803,
                  245.90163934])
p_fft_amp1 = np.array([3.34278536e-08,5.73549829e-08,1.94897033e-08,1.59088184e-08,
                      9.23948302e-09,3.71198908e-09,1.85535722e-09,1.86064653e-09,
                      1.52149363e-09,1.33626573e-09,1.19468040e-09,1.08304535e-09,
                      9.96594475e-10,9.25671797e-10,8.66775330e-10,8.17287132e-10,
                      7.75342888e-10,7.39541296e-10,7.08843676e-10,6.82440637e-10,
                      6.59712650e-10,6.40169517e-10,6.23422124e-10,6.09159901e-10,
                      5.97134297e-10,5.87146816e-10,5.79040074e-10,5.72691200e-10,
                      5.68006964e-10,5.64920239e-10,5.63387557e-10])

在曲线拟合过程中，参数的协方差无法估计。 内容来源于 Stack Overflow，遵循 CC BY-SA 4.0 许可协议进行翻译与使用。IT领域专用引擎提供翻译支持 腾讯云小微IT领域专用引擎提供翻译支持

1 个回答