Uncertainty analysis of decomposition level choice in wavelet threshold de-noising
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Publication:657509
DOI10.3390/E12122386zbMath1229.94015OpenAlexW2084642840MaRDI QIDQ657509
Publication date: 9 January 2012
Published in: Entropy (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3390/e12122386
complexitynoisewavelettime series analysisuncertainty analysisdecomposition levelwavelet energy entropy
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Application of orthogonal and other special functions (94A11)
Cites Work
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- Entropy-based method of choosing the decomposition level in wavelet threshold de-noising
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- Wavelet-based signal de-noising via simple singularities approximation
- Information Theory and Statistical Mechanics
- De-noising by soft-thresholding
- Entropy-based algorithms for best basis selection
- Asymptotic behavior of the minimum mean squared error threshold for noisy wavelet coefficients of piecewise smooth signals
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