WaveLab and reproducible research. WaveLab is a library of Matlab routines for wavelet analysis, wavelet-packet analysis, cosine-packet analysis and matching pursuit. The library is available free of charge over the Internet. Versions are provided for Macintosh, UNIX and Windows machines. WaveLab makes available, in one package, all the code to reproduce all the figures in our published wavelet articles. The interested reader can inspect the source code to see exactly what algorithms were used, how parameters were set in producing our figures, and can then modify the source to produce variations on our results. WaveLab has been developed, in part, because of exhortations by Jon Claerbout of Stanford that computational scientists should engage in “really reproducible” research.

References in zbMATH (referenced in 29 articles )

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  1. Storath, Martin; Demaret, Laurent; Massopust, Peter: Signal analysis based on complex wavelet signs (2017)
  2. Hofner, Benjamin; Schmid, Matthias; Edler, Lutz: Reproducible research in statistics: a review and guidelines for the Biometrical Journal (2016)
  3. Mansour, Mohamed F.: Subspace design of compactly supported orthonormal wavelets (2014)
  4. Bigot, Jérémie; Gadat, Sébastien; Klein, Thierry; Marteau, Clément: Intensity estimation of non-homogeneous Poisson processes from shifted trajectories (2013)
  5. Mandelbaum, Avishai; Zeltyn, Sergey: Data-stories about (im)patient customers in tele-queues (2013)
  6. Shirazi, E.; Doosti, H.; Niroumand, H.A.; Hosseinioun, N.: Nonparametric regression estimates with censored data based on block thresholding method (2013)
  7. Shukla, K. K.; Tiwari, Arvind K.: Efficient algorithms for discrete wavelet transform. With applications to denoising and fuzzy inference systems (2013)
  8. Zhu, Zangen; Wahid, Khan; Babyn, Paul; Cooper, David; Pratt, Isaac; Carter, Yasmin: Improved compressed sensing-based algorithm for sparse-view CT image reconstruction (2013)
  9. Lee, Kichun; Vidakovic, Brani: Semi-supervised wavelet shrinkage (2012)
  10. Shirazi, Esmaeil; Chaubey, Yogendra P.; Doosti, Hassan; Nirumand, Hossein Ali: Wavelet based estimation for the derivative of a density by block thresholding under random censorship (2012)
  11. Dalalyan, Arnak S.; Salmon, Joseph: Competing against the best nearest neighbor filter in regression (2011)
  12. McCoy, Michael; Tropp, Joel A.: Two proposals for robust PCA using semidefinite programming (2011)
  13. Yger, F.; Rakotomamonjy, A.: Wavelet kernel learning (2011) ioport
  14. Bigot, Jérémie; Gadat, Sébastien: A deconvolution approach to estimation of a common shape in a shifted curves model (2010)
  15. Chesneau, C.; Fadili, J.; Starck, J.-L.: Stein block thresholding for image denoising (2010)
  16. Chesneau, Christophe: Wavelet block thresholding for density estimation in the presence of bias (2010)
  17. Keiner, Jens; Kunis, Stefan; Potts, Daniel: Using NFFT 3 -- a software library for various nonequispaced fast Fourier transforms (2009)
  18. Cutillo, Luisa; Jung, Yoon Young; Ruggeri, Fabrizio; Vidakovic, Brani: Larger posterior mode wavelet thresholding and applications (2008)
  19. Protas, Bartosz: Adjoint-based optimization of PDE systems with alternative gradients (2008)
  20. Antoniadis, Anestis; Feuerverger, Andrey; Gonçalves, Paulo: Wavelet-based estimation for univariate stable laws (2006)

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