APPLICATION OF CONTINUOUS WAVELET TRANSFORM IN THIN LAYER DETECTION

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

ZOHRABI NARJESS; JAVAHERIAN ABDOLRAHIM

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF THE EARTH Year:2012 | Volume:6 | Issue:22 Page(s): 157-172

Download Full-Text

Persian Verion

View:

2,902

Download:

Cites:

Information Journal Paper

Title

APPLICATION OF CONTINUOUS WAVELET TRANSFORM IN THIN LAYER DETECTION

Author(s)

ZOHRABI NARJESS | JAVAHERIAN ABDOLRAHIM | Issue Writer Certificate

Keywords

SPECTRAL DECOMPOSITIONQ2

CONTINUOUS WAVELET TRANSFORMQ2

THIN BEDQ2

SEISMIC ATTRIBUTES AND TIME-FREQUENCY ANALYSISQ2

Abstract

The CONTINUOUS WAVELET TRANSFORM (CWT) is one of the SPECTRAL DECOMPOSITION methods to analysis a nonstationary signal in order to obtain an optimal time and frequency resolution of signals. Among SPECTRAL DECOMPOSITION methods, the first method is the short time Fourier transform (STFT), in this way, time-frequency resolution is limited by predefining a window length. In contrast, the CONTINUOUS WAVELET TRANSFORM method does not require preselecting a window length and does not have a fixed time-frequency resolution over the time-frequency space. CWT uses dilation and translation of wavelet to produce a time-scale map. Then the time-scale map of CWT is converted to a time-frequency CWT (TFCWT) map to obtain high time resolution at high frequencies and high frequency resolution at low frequencies. This property of the wavelet transform is used for detecting thin layers.In this thesis, at first a synthetic wedge model is considered, then, the peak scale (frequency) and the peak amplitude of scale (frequency) are extracted from spectrums of CWT and TFCWT. Then, they are compared with each other. It is shown that attributes given by the TFCWT have better resolution in comparison to CWT spectrum. Then exercising the same procedure on real data.

Cites

No record.

References

No record.

Cite

APA: Copy

ZOHRABI, NARJESS, & JAVAHERIAN, ABDOLRAHIM. (2012). APPLICATION OF CONTINUOUS WAVELET TRANSFORM IN THIN LAYER DETECTION. JOURNAL OF THE EARTH, 6(22), 157-172. SID. https://sid.ir/paper/192920/en

Vancouver: Copy

ZOHRABI NARJESS, JAVAHERIAN ABDOLRAHIM. APPLICATION OF CONTINUOUS WAVELET TRANSFORM IN THIN LAYER DETECTION. JOURNAL OF THE EARTH[Internet]. 2012;6(22):157-172. Available from: https://sid.ir/paper/192920/en

IEEE: Copy

NARJESS ZOHRABI, and ABDOLRAHIM JAVAHERIAN, “APPLICATION OF CONTINUOUS WAVELET TRANSFORM IN THIN LAYER DETECTION,” JOURNAL OF THE EARTH, vol. 6, no. 22, pp. 157–172, 2012, [Online]. Available: https://sid.ir/paper/192920/en

Related Journal Papers