• pyuvdata

  • Referenced in 245 articles [sw32698]
  • CASA measurement sets and FHD (Fast Holographic Deconvolution) visibility save files...
  • ForWaRD

  • Referenced in 53 articles [sw12296]
  • ForWaRD: Fourier-Wavelet regularized deconvolution for ill-conditioned systems. We propose an efficient, hybrid Fourier ... wavelet regularized deconvolution (ForWaRD) algorithm that performs noise regularization via scalar shrinkage in both ... representation of the colored noise inherent in deconvolution, whereas the wavelet shrinkage exploits the wavelet ... ForWaRD is applicable to all ill-conditioned deconvolution problems, unlike the purely wavelet-based wavelet...
  • FTVd

  • Referenced in 62 articles [sw12220]
  • Fast Algorithm for Total Variation based Deconvolution. FTVd refers to Fast Total Variation (TV) deconvolution ... based deconvolution / denoising package. The latest package includes fast solvers for the TV/L2 and TV/L1...
  • ARACNE

  • Referenced in 36 articles [sw17200]
  • address a wider range of network deconvolution problems. This method uses an information theoretic approach ... Networks and Bayesian Networks. Application to the deconvolution of genetic networks in human B cells...
  • decon

  • Referenced in 19 articles [sw11088]
  • decon: Deconvolution Estimation in Measurement Error Models. This package contains a collection of functions ... deal with nonparametric measurement error problems using deconvolution kernel methods. We focus two measurement error ... either homoscedastic or heteroscedastic. To make the deconvolution estimators computationally more efficient ... estimation with error-free data to the deconvolution kernel estimation. Several methods for the selection...
  • Multilinear Engine

  • Referenced in 31 articles [sw14430]
  • PARAFAC, PARAFAC2, Linked mode PARAFAC, blind deconvolution, and nonstandard variants of these...
  • tvreg

  • Referenced in 21 articles [sw14426]
  • performs total variation (TV) regularized image denoising, deconvolution, and inpainting. Three different noise models ... perform denoising, deconvolution, and inpainting as special cases. It is efficiently solved using the recent...
  • DeconvNet

  • Referenced in 8 articles [sw36333]
  • DeconvNet: Learning Deconvolution Network for Semantic Segmentation. We propose a novel semantic segmentation algorithm ... learning a deconvolution network. We learn the network on top of the convolutional layers adopted ... from VGG 16-layer net. The deconvolution network is composed of deconvolution and unpooling layers ... fully convolutional networks by integrating deep deconvolution network and proposal-wise prediction; our segmentation method...
  • GCVPACK

  • Referenced in 13 articles [sw31699]
  • including ridge regression, thin plate smoothing splines, deconvolution, smoothing of generalized linear models...
  • 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...
  • MRtrix

  • Referenced in 9 articles [sw19840]
  • orientations estimated using the validated constrained spherical deconvolution method, coupled with a probabilistic streamlines tracking...
  • NPsimex

  • Referenced in 5 articles [sw11305]
  • collection of functions to to perform nonparametric deconvolution using simulation extrapolation (SIMEX). We propose ... Deconvolution density estimation with heteroscedastic errors using SIMEX...
  • DeconvolutionLab2

  • Referenced in 2 articles [sw30681]
  • DeconvolutionLab2: An open-source software for deconvolution microscopy. Images in fluorescence microscopy are inherently blurred ... diffraction of light. The purpose of deconvolution microscopy is to compensate numerically for this degradation ... Deconvolution is widely used to restore fine details of 3D biological samples. Unfortunately, dealing with ... deconvolution tools is not straightforward. Among others, end users have to select the appropriate algorithm...
  • DATforDCEMRI

  • Referenced in 3 articles [sw24753]
  • package DATforDCEMRI: Deconvolution Analysis Tool for Dynamic Contrast Enhanced MRI. This package performs voxel-wise ... deconvolution analysis of DCE-MRI contrast agent concentration versus time data and generates the Impulse...
  • FLUSH

  • Referenced in 4 articles [sw19646]
  • beam elements, an approximate 3-D ability, deconvolution within the program, out-of-core equation...
  • TRINICON

  • Referenced in 2 articles [sw08750]
  • blind source separation (BSS) and multichannel blind deconvolution (MCBD). It is based ... concept of multichannel blind partial deconvolution (MCBPD) for speech which prevents a complete whitening...
  • SpaRSA

  • Referenced in 3 articles [sw20467]
  • absolute shrinkage and selection operator (LASSO), waveletbased deconvolution and reconstruction, and compressed sensing...
  • Deconv

  • Referenced in 1 article [sw32714]
  • open-source deconvolution software package for 3-D quantitative fluorescence microscopy imaging. Deconvolution techniques have ... field fluorescence microscope. Deconv, an open-source deconvolution software package, was developed ... point spread function and deconvolution routines implemented three constrained iterative deconvolution algorithms: one based ... users to assess the utility of these deconvolution algorithms and to determine which are suited...
  • Deconvolution

  • Referenced in 1 article [sw29901]
  • Deconvolution: Codes for the article titled ”Deconvolution Using Fourier Transform Phase, l1 and l2 Ball ... Variation”. In this article, we present a deconvolution software based on convex sets constructed from ... energy of a given image. The iterative deconvolution algorithm is based on the method ... called filtered variation bound on the iterative deconvolution algorithm. The main purpose of this article...