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最小二乘谱及其在超导重力观测数据分析中的应用 被引量:7

Least Squares Spectral Analysis and Its Application to Superconducting Gravimeter Data Analysis
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摘要 运用投影理论和基于向量空间中最小二乘平差原理,介绍了最小二乘谱分析方法,给出了最小二乘谱的计算公式。利用加拿大超导重力观测数据实例,讨论了最小二乘谱分析的策略和步骤。 The principle of (least squares spectrum analysis, LSSA) is introduced in this paper based on the least squares parametric adjustment in vector space. A possible strategy is given for the analysis of time series obtained from the Canadian Superconducting Gravimeter Installation (CGSI), which exhibit minor gaps (unequally spaced), offsets, spikes (seismic events) and variable weights due to different noise levels.
出处 《武汉大学学报(信息科学版)》 EI CSCD 北大核心 2005年第7期613-616,共4页 Geomatics and Information Science of Wuhan University
基金 国家留学基金委资助项目 加拿大国家杰出研究中心GEOIDE资助项目 湖北省高等学校省级教学研究资助项目(20012080) 地球空间环境与大地测量教育部重点实验室开放研究基金资助项目(040108)。
关键词 最小二乘谱 超导重力仪 数据分析 least squares spectrum superconducting gravimeter data analysis
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参考文献7

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  • 2Vanicek P. Further Development and Properties of the Spectral Analysis by Least-squares. Astrophysics and Space Science,1971 (12):10~33
  • 3Pagiatakis S D. Stochastic Significance of Peaks in the Least-squares Spectrum. Journal of Geodesy,1999, 73: 67~78
  • 4Pagiatakis S D. Application of the Least-squares Spectral Analysis to Superconducting Gravimeter Data Treatment and Analysis. Cahiers du Centre Européen de Géodynamique et Séismologie, 2000, 17:103~113
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