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GAOLS(A,y,k,L,thr)

version 1.1.0.0 (2.07 KB) by Abolfazl Hashemi
Accelerated Orthogonal Least-Squares (AOLS) algorithm

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Updated 31 Jan 2018

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Recovery of a sparse signal from its linear and possibly perturbed measurements via Accelerated Orthogonal Least-Squares (AOLS) method.
Orthogonal Least-Squares (OLS) is a greedy algorithm for sparse reconstruction. It is similar to a Orthogonal Matching Pursuit (OMP), but much more accurate specially for correlated dictionaries. However, each iteration of OLS is more expensive than OMP. AOLS algorithm performance is equivalent to OLS while its complexity is reduced significantly and can be used as an alternative to both OMP and OLS.
The full descreption is available at: http://arxiv.org/abs/1608.02549

Cite As

Abolfazl Hashemi (2020). GAOLS(A,y,k,L,thr) (https://www.mathworks.com/matlabcentral/fileexchange/58699-gaols-a-y-k-l-thr), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (1)

Mahsa Ghasemi

Updates

1.1.0.0

Faster implementation

1.0.0.0

Reference added.

MATLAB Release Compatibility
Created with R2013a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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