Minimizing the sum of ℓ∞ norms enables separation of antisparse bounded sources via PCA followed by Givens rotations optimization, with claimed superior performance over prior methods in simulations.
Cruces, Bounded component analysis of linear mixtures: A criterion of minimum convex perimeter, IEEE Transactions on Signal Processing 58 (4) (2010) 2141–2154
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Exploring Bounded Component Analysis Using an $\ell_\infty$ Norm Criterion
Minimizing the sum of ℓ∞ norms enables separation of antisparse bounded sources via PCA followed by Givens rotations optimization, with claimed superior performance over prior methods in simulations.