WaveD

R package waved: Wavelet Deconvolution. Makes available code necessary to reproduce figures and tables in papers on the WaveD method for wavelet deconvolution of noisy signals as presented in The WaveD Transform in R, Journal of Statistical Software Volume 21, No. 3, 2007

Keywords for this software

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References in zbMATH (referenced in 7 articles , 1 standard article )

Showing results 1 to 7 of 7.
Sorted by year (citations)

  1. Benhaddou, Rida; Liu, Qing: Anisotropic functional deconvolution with long-memory noise: the case of a multi-parameter fractional Wiener sheet (2019)
  2. Kulik, Rafal; Sapatinas, Theofanis; Wishart, Justin Rory: Multichannel deconvolution with long range dependence: upper bounds on the (L^p)-risk ((1 \leqp < \infty)) (2015)
  3. Bigot, Jérémie; Gadat, Sébastien; Klein, Thierry; Marteau, Clément: Intensity estimation of non-homogeneous Poisson processes from shifted trajectories (2013)
  4. Wishart, Justin Rory: Wavelet deconvolution in a periodic setting with long-range dependent errors (2013)
  5. Bigot, Jérémie; Gadat, Sébastien: A deconvolution approach to estimation of a common shape in a shifted curves model (2010)
  6. Cavalier, Laurent; Raimondo, Marc: Multiscale density estimation with errors in variables (2010)
  7. Marc Raimondo; Michael Stewart: The WaveD Transform in R: Performs Fast Translation-Invariant Wavelet Deconvolution (2007) not zbMATH