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  • 标题:Recent Spectral Decomposition Techniques and Its Applicationsin Analysis of Seismological Data: A Review
  • 本地全文:下载
  • 作者:Vaneeta Devi ; M.L. Sharma
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2016
  • 卷号:5
  • 期号:1
  • 页码:213
  • DOI:10.15680/IJIRSET.2016.0501028
  • 出版社:S&S Publications
  • 摘要:The Spectral decomposition of seismic data was incepted earlier in the second half of the 19th century,howeverlimited research work has been done in this filed because of lack of availability of advancetools/ techniques foranalysis of transient signal like earthquake time historyrecords. Although, there are several conventional techniqueslike Fourier Transform (FT),Fourier Series (FS)that are available and used for analysis and processing in seismic data.FT decomposes the signal into its constituent frequency components. Butit‟s simple interpretation of pure frequencies,it is not always the suitable tool to analyse the non-stationary signals.FT can identify the frequencies that are present insignal but does not reveal where changes in the frequency contents occur i.e., no temporal information of frequencies.Consequently,for the proper interpretation of seismic data in terms of varying frequency content, we needtimefrequencyrepresentation techniques jointly. This paper reviews the linear and quadratic time-frequency representationstechniques and their applications in analysis and processing of seismic data.
  • 关键词:Time-frequency analysis; spectral decomposition; STFT; GT and Gabor expansion.
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