• wavethresh

  • Referenced in 134 articles [sw06084]
  • wavelet transforms, complex-valued wavelet transforms, wavelet shrinkage for various kinds of data, locally stationary...
  • ForWaRD

  • Referenced in 54 articles [sw12296]
  • Fourier-wavelet regularized deconvolution (ForWaRD) algorithm that performs noise regularization via scalar shrinkage ... both the Fourier and wavelet domains. The Fourier shrinkage exploits the Fourier transform’s economical ... noise inherent in deconvolution, whereas the wavelet shrinkage exploits the wavelet domain’s economical representation ... signals with more economical wavelet representations require less Fourier shrinkage. ForWaRD is applicable...
  • WaveThresh4

  • Referenced in 41 articles [sw04496]
  • wavelet transforms, complex-valued wavelet transforms, wavelet shrinkage for various kinds of data, locally stationary...
  • reccv

  • Referenced in 35 articles [sw26388]
  • review of the vast literature of wavelet shrinkage and wavelet thresholding estimators developed to denoise...
  • nlt

  • Referenced in 3 articles [sw08132]
  • lifting transform. It has applications in wavelet shrinkage...
  • bayesShrink

  • Referenced in 1 article [sw39024]
  • package bayesShrink: Bayesian wavelet shrinkage. Performs bayesian wavelet shrinkage according to the choice of beta...
  • LASSO

  • Referenced in 32 articles [sw02850]
  • useful method to achieve the shrinkage and variable selection simultaneously. The main idea of LASSO ... been applied to various models such as wavelets, kernel machines, smoothing splines, multiclass logistic models...
  • CVTresh

  • Referenced in 1 article [sw25942]
  • selection of the thresholding value in wavelet shrinkage ... cross-validation can be developed for wavelet shrinkage of data with various sparseness according...
  • CNLTreg

  • Referenced in 1 article [sw31438]
  • Denoising. Implementations of recent complex-valued wavelet shrinkage procedures for smoothing irregularly sampled signals...
  • WFMM

  • Referenced in 6 articles [sw36436]
  • command-line application that implements a Bayesian wavelet-based functional mixed model methodology for functional ... nonlinear shrinkage prior imposed on the fixed effects wavelet coefficients...
  • smashr

  • Referenced in 1 article [sw39435]
  • This R package implements fast, wavelet-based Empirical Bayes shrinkage methods for signal denoising. This...
  • GPSR

  • Referenced in 1 article [sw14968]
  • Pursuit, the Least Absolute Shrinkage and Selection Operator (LASSO), wavelet-based deconvolution, and Compressed Sensing...
  • FISTA

  • Referenced in 3 articles [sw11448]
  • paper we present a new fast iterative shrinkage-thresholding algorithm (FISTA) which preserves the computational ... practically. Initial promising numerical results for wavelet-based image deblurring demonstrate the capabilities of FISTA...
  • LSQR

  • Referenced in 377 articles [sw00530]
  • Algorithm 583: LSQR: Sparse Linear Equations and Least...
  • Mathematica

  • Referenced in 6112 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 12661 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • Octave

  • Referenced in 295 articles [sw00646]
  • GNU Octave is a high-level language, primarily...
  • R

  • Referenced in 8873 articles [sw00771]
  • R is a language and environment for statistical...
  • Scilab

  • Referenced in 168 articles [sw00834]
  • Scilab includes hundreds of mathematical functions. It has...