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Accelerated Orthogonal Least-Squares for sparse recovery

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AOLS

By Abolfazl Hashemi and Haris Vikalo.

Table of Contents

  1. Introduction
  2. Citation
  3. MATLAB implementation

Introduction

In this repository, we release MATLAB implementation of our proposed accelerated OLS (AOLS) algorithm which has applications in beam selection and channel estimation in millimeter wave systems, sparse learning, and unsupervised learning of high dimensional data.

Citation

If you use AOLS in your research, please cite:

    @article{hashemi2016sampling,
        title={Sampling requirements and accelerated schemes for sparse linear regression with orthogonal least-squares},
        author={Hashemi, Abolfazl and Vikalo, Haris},
        journal={arXiv preprint arXiv:1608.02549},
        pages={1-13},
        year={2016}
    }

MATLAB implementation

Please see the comments inside AOLS.m for a detailed explanation of the parameters.

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