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On preconditioning the data for the wavelet transform when the sample size is not a power of two

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Publication:4369355
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DOI10.1080/03610919708813391zbMath0900.62208OpenAlexW2038767972MaRDI QIDQ4369355

Robert Todd Ogden

Publication date: 15 November 1998

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610919708813391

zbMATH Keywords

interpolationwavelet shrinkagenonparametric regressioncorrelation matrixthreshold selectionà trous algorithmpadding datawavelet transform algorithms


Mathematics Subject Classification ID

Density estimation (62G07)


Related Items

Minimax wavelet estimation for multisample heteroscedastic nonparametric regression, Clustering Nonstationary Circadian Rhythms using Locally Stationary Wavelet Representations, Using wavelets for data smoothing: A simulation study, Wavelet spectral testing: application to nonstationary circadian rhythms


Uses Software

  • wavethresh


Cites Work

  • Unnamed Item
  • Wavelets on the interval and fast wavelet transforms
  • A theory for multiresolution signal decomposition: the wavelet representation
  • Ten Lectures on Wavelets
  • The discrete wavelet transform: wedding the a trous and Mallat algorithms
  • An Overview of Wavelet Based Multiresolution Analyses
  • Ideal spatial adaptation by wavelet shrinkage
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