
ThreshLab
 Referenced in 15 articles
[sw19223]
 ThreshLab: Matlab algorithms for wavelet noise reduction. ThreshLab is a collection of Matlab procedures that ... provides its own procedures for wavelet transforms...

MRI Simulation and Reconstruction
 Referenced in 11 articles
[sw23374]
 reconstruction methods including an efficient waveletbased nonlinear one. Demonstration and testing scripts ... adapt to any linear inverse problem. Wavelet transform and wavelet coefficients can be easily manipulated...

LLWM
 Referenced in 9 articles
[sw09400]
 coupled method of Laplace transform and Legendre wavelets for nonlinear KleinGordon equations. KleinGordon ... coupled method of Laplace transform and Legendre wavelets, named (LLWM), is presented for the approximate ... equations. By employing Laplace operator and Legendre wavelets operational matrices, the KleinGordon equation ... algebraic system. Hence, the unknown Legendre wavelets coefficients are calculated in the form of series...

NUSWIDE
 Referenced in 17 articles
[sw23017]
 edge direction histogram, 128D wavelet texture, 225D blockwise color moments extracted over...

unbalhaar
 Referenced in 11 articles
[sw12246]
 unbalhaar: Function estimation via Unbalanced Haar wavelets. The package implements topdown and bottom ... estimation in Gaussian noise using Unbalanced Haar wavelets...

EFDR
 Referenced in 8 articles
[sw11106]
 EFDR: WaveletBased Enhanced FDR for Signal Detection in Noisy Images. Enhanced False Discovery Rate ... image is first transformed into the wavelet domain in order to decorrelate any noise components ... which would carry out tests on every wavelet coefficient: EFDR choose which wavelets to test...

Waveslim
 Referenced in 7 articles
[sw07997]
 package waveslim: Basic wavelet routines for one, two and threedimensional signal processing. Basic wavelet ... code provided here is based on wavelet methodology developed in Percival and Walden (2000); Gencay ... Whitcher (2001); the dualtree complex wavelet transform (DTCWT) from Kingsbury (1999, 2001) as implemented ... Selesnick; and Hilbert wavelet pairs (Selesnick 2001, 2002). All figures in chapters...

MPAWL
 Referenced in 8 articles
[sw09094]
 Multivariate Anisotropic Periodic Wavelet Library (MPAWL) implements a fast Fourier transform on arbitrary sampling lattices ... variate torus. Furthermore, periodic wavelets on the torus based on these lattices can be created ... used for an anisotropic wavelet transform for multivariate periodic functions. Remarks: This software is also...

EbayesThresh
 Referenced in 13 articles
[sw11103]
 basic method, in particular to wavelet thresholding, are also implemented within the package...

wavelets
 Referenced in 6 articles
[sw04497]
 wavelets: A package of functions for computing wavelet filters, wavelet transforms and multiresolution analyses , This ... contains functions for computing and plotting discrete wavelet transforms (DWT) and maximal overlap discrete wavelet ... contains functionality for computing and plotting wavelet transform filters that are used in the above...

WavBox 4
 Referenced in 6 articles
[sw01012]
 WavBox 4.6  A Software Toolbox for Wavelet Transforms and Adaptive Wavelet Packet Decompositions with FirWav ... function library and a computing environment for wavelet transforms and adaptive wavelet packet decompositions ... uncompressed) implementing an extensive collection of these wavelet transforms, expansions, decompositions, wavelet filters, wavelets...

curvclust
 Referenced in 6 articles
[sw07435]
 Waveletbased clustering for mixedeffects functional models in high dimension. We propose a method ... data. Our method is based on a wavelet decomposition of the signal for both fixed ... efficient dimension reduction step based on wavelet thresholding adapted to multiple curves and using ... that belong to Besov spaces. In the wavelet domain our model resumes to a linear...

WaveD
 Referenced in 7 articles
[sw11120]
 package waved: Wavelet Deconvolution. Makes available code necessary to reproduce figures and tables in papers ... WaveD method for wavelet deconvolution of noisy signals as presented in The WaveD Transform...

SOWAS
 Referenced in 5 articles
[sw19595]
 TOCSY  Toolboxes for Complex Systems: SOWAS – Wavelet Spectral and Coherence Analysis. A package for time ... scale resolved wavelet spectral and wavelet coherence (wavelet coherency) analysis by means of continuous wavelet...

FXT
 Referenced in 9 articles
[sw05348]
 fast orthogonal transforms (Fourier, Hartley, Walsh, Haar, Wavelettransform) and convolution. It contains a large...

GWWINKS
 Referenced in 9 articles
[sw07742]
 GARCH processes, time varying frequencies (TVF), wavelets, and more. Other programs (some written...

MRAGI2D
 Referenced in 6 articles
[sw18266]
 methods enhanced by high order averageinterpolating wavelets and local timestepping. The multiresolution solver ... efficiently the irregular computational workload of waveletadapted grids on multicore nodes. The capabilities...

BigDFT
 Referenced in 5 articles
[sw10171]
 Daubechies wavelets for high performance electronic structure calculations: the BigDFT project. In this contribution ... functional theory method based on a Daubechies wavelets basis set, named BigDFT. We will ... that, thanks to wavelet properties, this code shows high systematic convergence properties, very good performances...

Wavos
 Referenced in 5 articles
[sw10401]
 Wavos: a Matlab toolkit for wavelet analysis and visualization of oscillatory systems. A MATLAB package ... wavelet analysis of circadian rhythms with both discrete (Daubechies) and continuous (Morlet) wavelets, as well...

WaveSpect0
 Referenced in 4 articles
[sw08760]
 Waveletbased procedures for proteomic mass spectrometry data processing. Proteomics aims at determining the structure ... data. Multiscale mathematical tools such as wavelets play an important role in signal processing ... statistical data analysis. A waveletbased algorithm for proteomic data processing is developed. A MATLAB ... stepinterval unification, adaptive stationary discrete wavelet denoising, baseline correction using splines, normalization, peak detection...