Nonlinear complexity reduction: Sparsity of the generalized schur coefficient matrices and frobenius norm criterion

Wielgus, Agnieszka; Libal, Urszula; Magiera, Władysław

doi:10.1109/sps.2017.8053665

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Cited by 5 publications

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“…This problem, however, is of crucial importance in nonlinear generalizations to higherorder time-series of the the algorithms presented in this paper. In the nonlinear approach, the number of hyperbolic/circular rotations increases tremendously, making the resulting algorithms practically useless, as it was shown in [20]. Therefore, the nonlinear complexity reduction via consideration of pstationary higher-order time series, spanning p-shift invariant generalized sample-product spaces, can be the subject of a separate paper.…”

Section: Discussionmentioning

confidence: 99%