On the performance enhancement of adaptive signal averaging: A means for improving the sensitivity and rate of data acquisition in magnetic resonance and other analytical measurements

Cochrane C. J.

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On the performance enhancement of adaptive signal averaging: A means for improving the sensitivity and rate of data acquisition in magnetic resonance and other analytical measurements

机译：关于自适应信号平均的性能增强：一种在磁共振和其他分析测量中提高数据采集灵敏度和速率的方法

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A few years back, our lab developed a signal averaging technique that greatly reduces the number of scans required to achieve a comparable signal-to-noise ratio to that of conventional signal averaging for continuous wave magnetic resonance measurements. We utilize an adaptive filter in a signal averaging scheme without any prior knowledge of the signal under observation. We termed this technique adaptive signal averaging (ASA). The technique was successful in reducing the noise variance by a factor of at least 10 in a single trace and is shown to converge in time by the same factor. ASA can also be useful in many other applications where signal averaging is utilized, such as medical imaging, electrocardiography, or electroencephalography. The purpose of this paper is to describe the advancements made to the technique, present a derivation of its performance enhancement, and illustrate the power of the technique through a set of simulations.

机译：几年前，我们的实验室开发了一种信号平均技术，该技术大大减少了获得与连续波磁共振测量的传统信号平均相当的信噪比所需的扫描次数。我们在信号平均方案中使用了自适应滤波器，而无需任何先验知识来观察信号。我们称这种技术为自适应信号平均（ASA）。该技术在单条迹线中成功地将噪声方差降低了至少10倍，并且在时间上收敛了相同的倍数。 ASA在许多其他使用信号平均的应用中也很有用，例如医学成像，心电图或脑电图。本文的目的是描述该技术的进步，介绍其性能增强的派生，并通过一组仿真来说明该技术的强大功能。

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《Review of Scientific Instruments》 |2012年第10期|p.1-8|共8页
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Cochrane C. J.;
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Department of Engineering Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA;

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机译：注意：连续波电子顺磁共振中的灵敏度增强：自适应信号平均与移动平均值
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On the performance enhancement of adaptive signal averaging: A means for improving the sensitivity and rate of data acquisition in magnetic resonance and other analytical measurements

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