Robust and Fast Algorithms for Singular Spectral Analysis of Seismic Data

2020 ◽  
pp. 67-84
Author(s):  
R. K. Tiwari ◽  
R. Rekapalli
Keyword(s):  
Spectral Analysis ◽  
Seismic Data ◽  
Fast Algorithms ◽  
Singular Spectral Analysis

Methods of spectral analysis of seismic data

1964 ◽  
Vol 54 (4) ◽  
pp. 1213-1232
Author(s):  
I. K. McIvor
Keyword(s):  
Spectral Analysis ◽  
Fourier Analysis ◽  
Seismic Data ◽  
Seismic Event ◽  
Time Varying

Abstract Three different methods of spectral analysis are compared on the basis of a common interpretation in terms of time-varying Fourier analysis. The spectra obtained by these methods for a particular seismic event are given and differences in the results are resolved.

scholarly journals Mean scatterer space estimation from ultrasound signals combining singular spectral analysis and entropy

2018 ◽  
Vol 34 (2) ◽  
pp. 157-165 ◽  
Author(s):  
Adriana Kauati ◽  
Wagner Coelho de Albuquerque Pereira ◽  
Marcello Luiz Rodrigues Campos
Keyword(s):  
Spectral Analysis ◽  
Singular Spectral Analysis ◽  
Ultrasound Signals

An optimum data editing technique for the reduction of noise in multi-channel geophysical data

1984 ◽  
Vol 74 (3) ◽  
pp. 1059-1078
Author(s):  
P. A. Tyraskis ◽  
O. G. Jensen ◽  
D. E. Smylie ◽  
J. A. Linton
Keyword(s):  
Time Series ◽  
Spectral Analysis ◽  
Seismic Data ◽  
Data Model ◽  
Optimum Interpolation ◽  
Long Period ◽  
Data Editing ◽  
Spectral Peaks ◽  
Data Gaps ◽  
The Individual

Abstract We develop a data editing method, for the optimum interpolation of multichannel time series containing time-coincident data gaps, in one, several, or all channels based upon the autoregressive data model. The method is applied to a set of very long-period seismic data recorded during the 19 August 1977 Indonesian earthquake, which shows several unassociated bursts of noise. Spectral analysis following editing and interpolation of the record indicates existence of systematic signals with periods higher than 1 hr and perhaps as long as 2 hr. The individual spectral peaks in this subseismic band have not been identified.

A Review of Singular Spectral Analysis to Extract Components from Gearbox Data

2021 ◽  
pp. 160-172
Author(s):  
Daniel N. Wilke ◽  
Stephan Schmidt ◽  
P. Stephan Heyns
Keyword(s):  
Spectral Analysis ◽  
Singular Spectral Analysis

scholarly journals Spectral whitening based on the singular spectral analysis method

2018 ◽  
Vol 15 (4) ◽  
pp. 1460-1469 ◽  
Author(s):  
Rafael R Manenti ◽  
Wilker E Souza ◽  
Milton J Porsani
Keyword(s):  
Spectral Analysis ◽  
Analysis Method ◽  
Singular Spectral Analysis ◽  
Spectral Analysis Method

scholarly journals Singular Spectral Analysis of the aa and Dst Geomagnetic Indices

2019 ◽  
Vol 124 (8) ◽  
pp. 6403-6417 ◽  
Author(s):  
J. L. Le Mouël ◽  
F. Lopes ◽  
V. Courtillot
Keyword(s):  
Spectral Analysis ◽  
Geomagnetic Indices ◽  
Singular Spectral Analysis

First application of SanMcs technology to marine seismics

2020 ◽  
Author(s):  
Ekaterina E. Khogoeva ◽  
◽  
Evgeny A. Khogoev ◽  
Jostein K. Kjerstad ◽  
Børge O. Rosland ◽  
...  
Keyword(s):  
Spectral Analysis ◽  
Seismic Data ◽  
Principal Difference ◽  
Marine Seismics ◽  
Marine Seismic ◽  
Methodological Aspects

The article presents the results of first application of microsesismic spectral analysis developed to land seismics to marine seismic data. Principal difference in algorithmical and methodological aspects are described. Agreement between the anomalies on microseismic spectrum in the range of 4–8 and 12–16 Hz and known hydrocarbon depositions is shown.

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