R1magic: Compressive Sampling: Sparse Signal Recovery Utilities
Version 0.3.2

Utilities for sparse signal recovery suitable for compressed sensing. L1, L2 and TV penalties, DFT basis matrix, simple sparse signal generator, mutual cumulative coherence between two matrices and examples, Lp complex norm, scaling back regression coefficients.

AuthorMehmet Suzen [aut, cre]
Date of publication2015-04-19 22:18:58
MaintainerMehmet Suzen <mehmet.suzen@physics.org>
LicenseGPL (>= 3)
Version0.3.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("R1magic")

Getting started

Package overview
README.md

Popular man pages

GaussianMatrix: Generate Gaussian Random Matrix
Lnorm: L-p norm of a given complex vector
objective1TV: 1-D Total Variation Penalized Objective Function
objectiveL1: Objective function for ridge L1 penalty
oo: Frequency expression for DFT
R1magic-package: Compressive Sampling: Sparse signal recovery utilities
scaleBack.lm: Transform back multiple regression coefficients to unscaled...
See all...

All man pages Function index File listing

Man pages

CompareL1_L2_TV1: Compare L1, L2 and TV on a sparse signal.
DFTMatrix0: Generate Discrete Fourier Transform Matrix using...
DFTMatrixPlain: Generate Plain Discrete Fourier Transform Matrix without the...
GaussianMatrix: Generate Gaussian Random Matrix
Lnorm: L-p norm of a given complex vector
mutualCoherence: Cumulative mutual coherence
objective1TV: 1-D Total Variation Penalized Objective Function
objectiveL1: Objective function for ridge L1 penalty
objectiveL2: Objective function for Tikhinov L2 penalty
oo: Frequency expression for DFT
R1magic-package: Compressive Sampling: Sparse signal recovery utilities
scaleBack.lm: Transform back multiple regression coefficients to unscaled...
solve1TV: 1-D Total Variation Penalized Nonlinear Minimization
solveL1: l1 Penalized Nonlinear Minimization
solveL2: l2 Penalized Nonlinear Minimization
sparseSignal: Sparse digital signal Generator.
TV1: 1-D total variation of a vector.

Functions

CompareL1_L2_TV1 Man page Source code
DFTMatrix0 Man page Source code
DFTMatrixPlain Man page Source code
GaussianMatrix Man page Source code
Lnorm Man page Source code
R1magic Man page
R1magic-package Man page
TV1 Man page Source code
mutualCoherence Man page Source code
objective1TV Man page Source code
objectiveL1 Man page Source code
objectiveL2 Man page Source code
oo Man page Source code
scaleBack.lm Man page Source code
solve1TV Man page Source code
solveL1 Man page Source code
solveL2 Man page Source code
sparseSignal Man page Source code

Files

inst
inst/examples
inst/examples/mutualCoherenceExample.R
NAMESPACE
NEWS
R
R/DFTMatrixPlain.R
R/GaussianMatrix.R
R/objectiveL1.R
R/CompareL1_L2_TV1.R
R/objective1TV.R
R/mutualCoherence.R
R/solve1TV.R
R/solveL1.R
R/solveL2.R
R/oo.R
R/scaleBack.lm.R
R/objectiveL2.R
R/sparseSignal.R
R/DFTMatrix0.R
R/TV1.R
R/Lnorm.R
README.md
MD5
DESCRIPTION
man
man/objective1TV.Rd
man/solve1TV.Rd
man/R1magic-package.Rd
man/solveL2.Rd
man/objectiveL2.Rd
man/GaussianMatrix.Rd
man/Lnorm.Rd
man/TV1.Rd
man/sparseSignal.Rd
man/objectiveL1.Rd
man/DFTMatrixPlain.Rd
man/mutualCoherence.Rd
man/oo.Rd
man/solveL1.Rd
man/scaleBack.lm.Rd
man/CompareL1_L2_TV1.Rd
man/DFTMatrix0.Rd
R1magic documentation built on May 19, 2017, 8:17 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.