Wavelet based seismic signal de-noising using Shannon and Tsallis entropy

DOI10.1016/J.CAMWA.2012.09.009zbMath1268.94016OpenAlexW2004733838MaRDI QIDQ356371

J. Mohanalin, S. Prabavathy, M. Beenamol

Publication date: 25 July 2013

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2012.09.009

zbMATH Keywords

waveletTsallis entropyShannon entropynormal shrinkseismic signalvisu shrink

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Seismology (including tsunami modeling), earthquakes (86A15) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Numerical methods for wavelets (65T60) Measures of information, entropy (94A17)

Related Items (2)

Tsallis entropy based uncertainty relations on sparse representation for vector and matrix signals ⋮ Asymmetric Prior in Wavelet Shrinkage

Cites Work

• Effects of digital filtering in data processing of seismic acceleration records
• Entropy-based wavelet de-noising method for time series analysis
• Wavelet denoising techniques with applications to experimental geophysical data
• An automatic method to enhance microcalcifications using normalized Tsallis entropy
• Relative complexity changes in time series using information measures
• Possible generalization of Boltzmann-Gibbs statistics.
• A new entropy measure based on the wavelet transform and noise modeling [image compression]
• De-noising by soft-thresholding

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