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首页> 外文期刊>Pure and Applied Geophysics >Identification of Glacial Isostatic Adjustment in Eastern Canada Using S Transform Filtering of GPS Observations
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Identification of Glacial Isostatic Adjustment in Eastern Canada Using S Transform Filtering of GPS Observations

机译：利用GPS观测值的S变换滤波识别加拿大东部的冰川等压调整

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Over the years, a number of different models and techniques have been proposed to both quantify and explain the glacial isostatic adjustment (GIA) process. There are serious challenges, however, to obtaining accurate results from measurements, due to noise in the data and the long periods of time necessary to identify the relatively small-magnitude signal in certain regions. The primary difficulty, in general, is that most of the geophysical signals that occur in addition to GIA are nonstationary in nature. These signals are also corrupted by random as well as correlated noise added during data acquisition. The nonstationary characteristic of the data makes it difficult for traditional frequency-domain denoising approaches to be effective. Time–frequency filters present a more robust and reliable alternative to deal with this problem. This paper proposes an extended S transform filtering approach to separate the various signals and isolate that associated with GIA. Continuous global positioning system (GPS) data from eastern Canada for the period from June 2001 to June 2006 are analyzed here, and the vertical velocities computed after filtering are consistent with the GIA models put forward by other researchers.
机译：多年来，已提出了许多不同的模型和技术来量化和解释冰川等静压调整（GIA）过程。然而，由于数据中的噪声以及识别某些区域中相对较小幅度的信号所需的较长时间，因此从测量中获得准确的结果面临着严峻的挑战。通常，主要困难在于，除了GIA之外，大多数发生的地球物理信号本质上都是不稳定的。这些信号还会因数据采集期间添加的随机以及相关噪声而损坏。数据的非平稳特性使传统的频域去噪方法很难有效。时频滤波器为解决此问题提供了更强大，更可靠的替代方案。本文提出了一种扩展的S变换滤波方法，用于分离各种信号并隔离与GIA相关的信号。本文分析了加拿大东部2001年6月至2006年6月的连续全球定位系统（GPS）数据，滤波后计算出的垂直速度与其他研究人员提出的GIA模型一致。

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