Abstract: Sparse regression deals with the problem of representing a dataset using only a few non-zero basis elements. This work presents a recursive implementation of sparse regression, with the ...

Abstract: In this letter, a novel recursive total least squares (RTLS) algorithm that is grounded in a constrained Lagrange optimization of the errors-in-variables model is presented. The proposed ...