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 noisy underdetermined and overdeter- mined mixtures, IEEE Transactions on Signal Processing 63 (9) (2015) 2279–2294
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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.