• 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 wavelet-based non-linear 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 Klein-Gordon equations. Klein-Gordon ... 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 Klein-Gordon equation ... algebraic system. Hence, the unknown Legendre wavelets coefficients are calculated in the form of series...
  • NUS-WIDE

  • Referenced in 17 articles [sw23017]
  • edge direction histogram, 128-D wavelet texture, 225-D block-wise color moments extracted over...
  • unbalhaar

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

  • Referenced in 8 articles [sw11106]
  • EFDR: Wavelet-Based 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 three-dimensional signal processing. Basic wavelet ... code provided here is based on wavelet methodology developed in Percival and Walden (2000); Gencay ... Whitcher (2001); the dual-tree 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]
  • Wavelet-based clustering for mixed-effects 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-, Wavelet-transform) and convolution. It contains a large...
  • GW-WINKS

  • Referenced in 9 articles [sw07742]
  • GARCH processes, time varying frequencies (TVF), wavelets, and more. Other programs (some written...
  • MRAG-I2D

  • Referenced in 6 articles [sw18266]
  • methods enhanced by high order average-interpolating wavelets and local time-stepping. The multiresolution solver ... efficiently the irregular computational workload of wavelet-adapted 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]
  • Wavelet-based 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 wavelet-based algorithm for proteomic data processing is developed. A MATLAB ... step-interval unification, adaptive stationary discrete wavelet denoising, baseline correction using splines, normalization, peak detection...