Sinha Dhiraj
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77, Massachusetts Avenue, Cambridge, MA, 02139, USA.
Reimagining Higher Education Foundation, 302, Gopal Heights, Netaji Subash Place, New Delhi, 110034, India.
Sci Rep. 2020 Dec 8;10(1):21406. doi: 10.1038/s41598-020-77206-8.
We present an analytical study on generation of acoustic-Brownian noise in nuclear magnetic resonance (NMR) induced as a result of thermal fluctuations of the magnetic moments under non-equilibrium thermal interactions which has not been explored independent of Nyquist-Johnson noise until now. The mechanism of physical coupling between non-equilibrium thermal fluctuations and magnetic moments is illustrated using Lighthill's formulation on suspension dynamics. We discover that unlike Nyquist-Johnson noise which has a uniform spectral density across a range of frequencies, the spectral dependence of acoustic-Brownian noise decreases with an increase in frequency and resembles Brownian noise associated with a particle in a potential well. The results have applications in the field of image enhancement algorithm as well as noise reduction instrumentation in NMR systems.
我们对核磁共振(NMR)中由于非平衡热相互作用下磁矩的热涨落而产生的声布朗噪声进行了分析研究,到目前为止,该研究尚未独立于奈奎斯特 - 约翰逊噪声进行探讨。利用莱特希尔关于悬浮动力学的公式阐述了非平衡热涨落与磁矩之间的物理耦合机制。我们发现,与在一系列频率上具有均匀谱密度的奈奎斯特 - 约翰逊噪声不同,声布朗噪声的谱依赖性随频率增加而降低,并且类似于与势阱中粒子相关的布朗噪声。这些结果在图像增强算法领域以及NMR系统中的降噪仪器方面具有应用价值。