Original paper
Optimal Algorithms for <formula formulatype="inline"> <tex Notation="TeX">$L_{1}$</tex></formula>-subspace Signal Processing
Volume: 62, Issue: 19, Pages: 5046 - 5058
Published: Oct 1, 2014
Abstract
We describe ways to define and calculate L_1norm signal subspaces which are less sensitive to outlying data than L_2calculated subspaces. We start with the computation of the L_1maximum-projection principal component of a data matrix containing Nsignal samples of dimension D We show that while the general problem is formally NP-hard in asymptotically large N D the case of engineering interest of fixed dimension Dand...
Paper Details
Title
Optimal Algorithms for <formula formulatype="inline"> <tex Notation="TeX">$L_{1}$</tex></formula>-subspace Signal Processing
Published Date
Oct 1, 2014
Volume
62
Issue
19
Pages
5046 - 5058
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