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


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.
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Cite As

Abolfazl Hashemi (2020). GAOLS(A,y,k,L,thr) (, MATLAB Central File Exchange. Retrieved .

Comments and Ratings (1)

Mahsa Ghasemi


Faster implementation

Reference added.

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