Difference between revisions of "Ambient vibration array"
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The Modified Spatial Autocorrelation (MSPAC) was introduced by Bettig et al. (2001) [1] after pioneer paper of Aki (1957)[2]. This method allows computing spatial autocorrelation coefficients for any arbitary array configurations. | The Modified Spatial Autocorrelation (MSPAC) was introduced by Bettig et al. (2001) [1] after pioneer paper of Aki (1957)[2]. This method allows computing spatial autocorrelation coefficients for any arbitary array configurations. | ||
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| + | The co-array is defined as the set of all possible combinations of two array sensors (Haubrich, 1968 [4]): the array can thus be divided into several semicircular sub-arrays (hereafter called rings) as described in Bettig et al. (2001) [1]. Since, for each ring, an azimuthal and radial integration is performed when computing spatial autocorrelation values, the design of rings results from a compromise between a number of sensors pair per ring as large as possible and a ring thickness as small as possible. | ||
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links to [[MSPAC]] | links to [[MSPAC]] | ||
Revision as of 07:43, 10 March 2010
Contents
Common pre-requisites for array processing - getting ready
For any array processing of ambient vibration data there are some common steps / pre-requisites regarding your signal recordings (selection of simultaneous recordings, coordinate insertion, signal grouping). Learn about all these options/preparatory steps in the following sub-chapters (linking to other parts of this wiki)
Loading and viewing signals (time series)
links to loading and viewing signal
Group signals
links to groups
Insert / edit station coordinates
links to set receivers
F-K Toolbox (conventional f-k)
links to FK
High resolution frequency wavenumber Toolbox (Capon's method)
links to HRFK
Modified Spatial Autocorrelation (MSPAC) Toolbox
The Modified Spatial Autocorrelation (MSPAC) was introduced by Bettig et al. (2001) [1] after pioneer paper of Aki (1957)[2]. This method allows computing spatial autocorrelation coefficients for any arbitary array configurations.
bla bla bla
The co-array is defined as the set of all possible combinations of two array sensors (Haubrich, 1968 [4]): the array can thus be divided into several semicircular sub-arrays (hereafter called rings) as described in Bettig et al. (2001) [1]. Since, for each ring, an azimuthal and radial integration is performed when computing spatial autocorrelation values, the design of rings results from a compromise between a number of sensors pair per ring as large as possible and a ring thickness as small as possible.
links to MSPAC
