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首页> 外文期刊>Journal of magnetic resonance >Spectral estimation of irregularly sampled exponentially decaying signals with applications to RF spectroscopy
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Spectral estimation of irregularly sampled exponentially decaying signals with applications to RF spectroscopy

机译：不规则采样的指数衰减信号的频谱估计及其在射频光谱中的应用

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摘要

The problem of estimating the spectral content of exponentially decaying signals from a set of irregularly sampled data is of considerable interest in several applications, for example in various forms of radio frequency spectroscopy. In this paper, we propose a new nonparametric iterative adaptive approach that provides a solution to this estimation problem. As opposed to commonly used methods in the field, the damping coefficient, or linewidth, is explicitly modeled, which allows for an improved estimation performance. Numerical examples using both simulated data and data from NQR experiments illustrate the benefits of the proposed estimator as compared to currently available nonparametric methods.
机译：从一组不规则采样的数据中估计指数衰减信号的频谱含量的问题在几种应用中引起了极大的兴趣，例如在各种形式的射频光谱中。在本文中，我们提出了一种新的非参数迭代自适应方法，为该估计问题提供了解决方案。与本领域中常用的方法相反，对阻尼系数或线宽进行了显式建模，从而可以提高估计性能。使用模拟数据和NQR实验数据的数值示例说明了与当前可用的非参数方法相比，所提出的估计器的优势。

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