Using the Down Sampling Technique and Running Variance Method for Microtremor Data Filtering

Anzehaee, Mohammad Mousavi; Adib, Ahmad; Heydarzadeh, Kobra

doi:10.1080/13632469.2015.1025927

Cited by 1 publication

(3 citation statements)

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“…This procedure is repeated until the end of the data signal is reached. After the step of computing the variance, the obtained signal is used to remove the ranges of data affected by perturbations from the original data (MOUSAVI ANZEHAEE et al 2015). Therefore, by moving along the length of the data signal, those parts of data whose corresponding variance signals (energies) have not been affected by severe and unacceptable changes are saved in the temporary register and the procedure is repeated.…”

Section: The Removal Of Transients Resulting From Local Perturbationsmentioning

confidence: 99%

“…It should be noted that the primary threshold is automatically calculated by the computer program, and the user does not need to set it. The user should only set the correction coefficient, which is easy to do (MOUSAVI ANZEHAEE et al 2015).…”

Section: The Removal Of Transients Resulting From Local Perturbationsmentioning

confidence: 99%

“…This method is efficient in removing the effects of local transient perturbations from microtremor data. The RVM method is robust to restricted variations of its parameters and additionally setting the parameters in this method is simple (MOUSAVI ANZEHAEE et al 2015).…”

Section: Introductionmentioning

confidence: 99%

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Improvement of Microtremor Data Filtering and Processing Methods Used in Determining the Fundamental Frequency of Urban Areas

Anzehaee

Adib

Heydarzadeh

2015

Pure Appl. Geophys.

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The manner of microtremor data collection and filtering operation and also the method used for processing have a considerable effect on the accuracy of estimation of dynamic soil parameters. In this paper, running variance method was used to improve the automatic detection of data sections infected by local perturbations. In this method, the microtremor data running variance is computed using a sliding window. Then the obtained signal is used to remove the ranges of data affected by perturbations from the original data. Additionally, to determinate the fundamental frequency of a site, this study has proposed a statistical characteristics-based method. Actually, statistical characteristics, such as the probability density graph and the average and the standard deviation of all the frequencies corresponding to the maximum peaks in the H/V spectra of all data windows, are used to differentiate the real peaks from the false peaks resulting from perturbations. The methods have been applied to the data recorded for the City of Meybod in central Iran. Experimental results show that the applied methods are able to successfully reduce the effects of extensive local perturbations on microtremor data and eventually to estimate the fundamental frequency more accurately compared to other common methods.

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Section: The Removal Of Transients Resulting From Local Perturbationsmentioning

confidence: 99%

Section: The Removal Of Transients Resulting From Local Perturbationsmentioning

confidence: 99%

See 1 more Smart Citation

Improvement of Microtremor Data Filtering and Processing Methods Used in Determining the Fundamental Frequency of Urban Areas

Anzehaee

Adib

Heydarzadeh

2015

Pure Appl. Geophys.

Self Cite

View full text Add to dashboard Cite

show abstract

Using the Down Sampling Technique and Running Variance Method for Microtremor Data Filtering

Cited by 1 publication

References 32 publications

Improvement of Microtremor Data Filtering and Processing Methods Used in Determining the Fundamental Frequency of Urban Areas

Improvement of Microtremor Data Filtering and Processing Methods Used in Determining the Fundamental Frequency of Urban Areas

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