• GSPBOX

  • Referenced in 10 articles [sw22597]
  • toolbox for signal processing on graphs. This document introduces the Graph Signal Processing Toolbox (GSPBox ... used to tackle graph related problems with a signal processing approach. It explains the structure...
  • SIGNAL

  • Referenced in 52 articles [sw02915]
  • temporal and data-flow invariants interface SIGNAL processes to their enviroument. In conventional languages, typing ... program. In SIGNAL, the notion of conditional data-flow graph can similarly be used ... separately compiling reactive processes and for assembling them in complex systems. Following this principle ... module system for the synchronous language SIGNAL...
  • PyGSP

  • Referenced in 4 articles [sw22598]
  • PyGSP: Graph Signal Processing in Python. The PyGSP is a Python package to ease Signal ... Processing on Graphs. It is a free software, distributed under the BSD license, and available ... operations on graphs, like computing their Fourier basis, filtering or interpolating signals, plotting graphs, signals...
  • ForneyLab

  • Referenced in 2 articles [sw27938]
  • factor graph approach to automated design of Bayesian signal processing algorithms. The benefits of automating ... factor graphs (FFGs), in the context of automated design of efficient Bayesian signal processing algorithms...
  • RGCNN

  • Referenced in 1 article [sw36662]
  • graph-signal smoothness prior in the loss function, thus regularizing the learning process. Experimental results...
  • GTG

  • Referenced in 1 article [sw26513]
  • MATLAB toolbox calculates & runs a GLM on graph theory properties derived from brain networks ... data processing path for resting state & task fMRI data. Options for partialing nuisance signals include...
  • NARA-WPE

  • Referenced in 1 article [sw38160]
  • Numpy and Tensorflow for online and offline processing. NARA-WPE is a Python software package ... thus improving the perceptual quality of the signal and improving the recognition performance of downstream ... implementation which allows integration into larger computational graphs and enables backpropagation through WPE to train...
  • SPTK

  • Referenced in 1 article [sw29386]
  • SPTK) is a suite of speech signal processing tools for UNIX environments, e.g., LPC analysis ... this distribution were written by Takao Kobayashi (graph, data processing, FFT, sampling rate conversion...
  • FaceRecLib

  • Referenced in 1 article [sw07686]
  • built on the open source signal processing and machine learning library Bob. It uses well ... Gabor binary pattern histogram sequences (LGBPHS), Gabor graph comparisons with a Gabor phase based similarity...
  • sdtlu

  • Referenced in 1 article [sw40923]
  • introduce a new R package, sdtlu (Signal Detection Theory – LineUp), that streamlines and automates ... lineup data. sdtlu provides functions to process lineup data, determine the best-fitting SDT parameters ... also produce a full set of graphs, including data and model-based ROC curves...
  • ANSYS

  • Referenced in 704 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • ATLAS

  • Referenced in 199 articles [sw00056]
  • This paper describes the Automatically Tuned Linear Algebra...
  • Coq

  • Referenced in 1890 articles [sw00161]
  • Coq is a formal proof management system. It...
  • DG2VHDL

  • Referenced in 3 articles [sw00202]
  • We present DG2VHDL, a design tool which can...
  • Expokit

  • Referenced in 200 articles [sw00258]
  • Expokit provides a set of routines aimed at...
  • FGb

  • Referenced in 247 articles [sw00286]
  • FGb/Gb libraryGb is a program (191 420 lines...
  • HSL

  • Referenced in 279 articles [sw00418]
  • HSL (formerly the Harwell Subroutine Library) is a...
  • LANCELOT

  • Referenced in 306 articles [sw00500]
  • LANCELOT. A Fortran package for large-scale nonlinear...
  • LAPACK

  • Referenced in 1702 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...