Sampling Requirements and Accelerated Schemes for Sparse Linear Regression with Orthogonal Least-Squares

8 Aug 2016 Abolfazl Hashemi Haris Vikalo

We study the problem of inferring a sparse vector from random linear combinations of its components. We propose the Accelerated Orthogonal Least-Squares (AOLS) algorithm that improves performance of the well-known Orthogonal Least-Squares (OLS) algorithm while requiring significantly lower computational costs... (read more)

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