solveL2: l2 Penalized Nonlinear Minimization
In R1magic: Compressive Sampling: Sparse Signal Recovery Utilities
solveL2 R Documentation
l2 Penalized Nonlinear Minimization
Description
l2 Penalized Nonlinear Minimization
Usage
solveL2(phi,y,T,x0,lambda=0.1)
Arguments
x0
Initial value of the vector to be recovered. Sparse representation
of the vector ( N x 1 matrix ) X=Tx, where X is the original vector
T
sparsity bases ( N x N matrix )
phi
Measurement matrix (M x N).
y
Measurement vector (Mx1).
lambda
Penalty coefficient. Defaults 0.1
Value
Returns nlm object.
Author(s)
Mehmet Suzen
R1magic documentation built on Aug. 27, 2023, 5:07 p.m.
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| solveL2 | R Documentation |
l2 Penalized Nonlinear Minimization
Description
l2 Penalized Nonlinear Minimization
Usage
solveL2(phi,y,T,x0,lambda=0.1)
Arguments
x0 |
Initial value of the vector to be recovered. Sparse representation of the vector ( N x 1 matrix ) X=Tx, where X is the original vector |
T |
sparsity bases ( N x N matrix ) |
phi |
Measurement matrix (M x N). |
y |
Measurement vector (Mx1). |
lambda |
Penalty coefficient. Defaults 0.1 |
Value
Returns nlm object.
Author(s)
Mehmet Suzen
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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