物理
高斯噪声
噪音(视频)
估计理论
统计物理学
噪音的颜色
高斯分布
联轴节(管道)
耦合参数
统计
算法
声学
光学
量子力学
降噪
数学
人工智能
计算机科学
图像(数学)
机械工程
工程类
作者
Xuelian Li,Jungang Li,Yuanmei Wang
标识
DOI:10.1016/j.physleta.2016.10.050
摘要
Abstract We analyze the influence of non-Gaussian noise on the accuracy of the parameter estimation. Specially, we estimate the intensity of magnetic field by adopting a spin-1/2 system which is influenced by random telegraph noise and colored noise with 1 / f α spectrum. We find that, for the random telegraph noise case, both weak coupling and strong coupling conditions are suitable for the parameter estimation. For the colored noise case, the accuracy of the parameter estimation decreases with the parameter α firstly and then increases with it. We also give physical explanations for these phenomena.
科研通智能强力驱动
Strongly Powered by AbleSci AI