Comparing the performance of Fourier decomposition and Wavelet decomposition for seismic signal analysis

Z. Chik, T. Islam, S. A. Rosyidi, Hilmi Sanusi, Mohd. Raihan Taha, Mohd. Marzuki Mustafa

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Different decomposition techniques are used to estimate the amplitude and phase of the seismic signal corresponding to frequency in geotechnical characteristics. In this paper, the Fourier based decomposition's performance is evaluated and compared with the performance of Wavelet decomposition. The performance of Fourier decomposition and Wavelet decomposition on seismic signal analysis are compared through Matlab Programming to reveal their fitness. Fourier decomposition techniques have found to be promising to improve significantly the accuracy and reliability of the approximate signal by minimizing the integral square error. Wavelet decomposition leads to improvement in the signal to noise ratio (SNR) but its computational complexity is high and restrained for high level wavelet de-noising. The significance of this work is to obtain the idea about convenience and limitations of Fourier and wavelet decomposition on seismic signal for geotechnical research concentration.

Original languageEnglish
Pages (from-to)314-328
Number of pages15
JournalEuropean Journal of Scientific Research
Volume32
Issue number3
Publication statusPublished - 2009

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Wavelet decomposition
Signal Analysis
Wavelet Decomposition
Signal analysis
Signal-To-Noise Ratio
wavelet
decomposition
Decompose
degradation
Decomposition Techniques
Research
Wavelet Denoising
Fitness
MATLAB
Computational complexity
Signal to noise ratio
Computational Complexity
Programming
analysis
Estimate

Keywords

  • De-noising
  • Fourier decomposition
  • Seismic signal
  • Wavelet decomposition

ASJC Scopus subject areas

  • General

Cite this

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AU - Chik, Z.

AU - Islam, T.

AU - Rosyidi, S. A.

AU - Sanusi, Hilmi

AU - Taha, Mohd. Raihan

AU - Mustafa, Mohd. Marzuki

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AB - Different decomposition techniques are used to estimate the amplitude and phase of the seismic signal corresponding to frequency in geotechnical characteristics. In this paper, the Fourier based decomposition's performance is evaluated and compared with the performance of Wavelet decomposition. The performance of Fourier decomposition and Wavelet decomposition on seismic signal analysis are compared through Matlab Programming to reveal their fitness. Fourier decomposition techniques have found to be promising to improve significantly the accuracy and reliability of the approximate signal by minimizing the integral square error. Wavelet decomposition leads to improvement in the signal to noise ratio (SNR) but its computational complexity is high and restrained for high level wavelet de-noising. The significance of this work is to obtain the idea about convenience and limitations of Fourier and wavelet decomposition on seismic signal for geotechnical research concentration.

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