Download All

Code covered by the BSD License

A=matrix_normalizer(B)
GenSig(n, k)
OLS(A, y, m, err) Orthogonal Least Squares [1] for Sparse Signal Reconstruction
ROLS(A, y, n, err) Regularized Orthogonal Least Squares for sparse reconstruction; combining
StOLS(A, y, steps, err) Stagewise Orthogonal Least Squares for sparse reconstruction; combining
[s, err_mse, iter_time]=ols_g... ols_gp: Orthogonal Least Squares solved by Gradient projection [1] & [2]
[s, err_mse, iter_time]=ols_n... ols_nomp: Orthogonal Least Squares solved by Approximate Conjugate
[s, err_mse, iter_time]=ols_p... ols_pcgp: Orthogonal Least Squares solved by Partial Conjugate
fdrthresh(z,q)
demo.m
View all files

4.0

4.0 | 1 rating Rate this file 12 Downloads (last 30 days) File Size: 17.03 KB File ID: #22828

Orthogonal Least Squares Algorithms for Sparse Signal Reconstruction

29 Jan 2009

Greedy Algorithms for Underdetermined but Sparse Solutions

File Information
Description	Added after previous version ols_gp: Sparse reconstruction by Orthogonal Least Squares followed by Gradient Pursuit ols_nomp: Sparse reconstruction by Orthogonal Least Squares followed by Approximate Conjugate Gradient Pursuit ols_pcgp: Sparse reconstruction by Orthogonal Least Squares followed by Partial Conjugate Gradient Pursuit
Acknowledgements	The author wishes to acknowledge the following in the creation of this submission: Orthogonal Least Squares Algorithms for Sparse Signal Reconstruction
MATLAB release	MATLAB 7.4 (R2007a)

Tags for This File
Everyone's Tags	compressed sensing, compressive sampling, earth science, greedy algorithm, image processing, interpolation, least squares, matrix, optimization, signal processing, simulation, sparse optimization
Tags I've Applied
Add New Tags	Please login to tag files.

Comments and Ratings (2)
29 Dec 2010	wu	thanks for sharing,
07 Sep 2011	yunhua	it makes great sense

Please login to add a comment or rating.