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Cheng, Changming; Bai, Er-Wei; Peng, Zhike
IEEE transactions on automatic control, 04/2022, Letnik: 67, Številka: 4Journal Article
This article considers identification of sparse Volterra systems. A method based on the almost orthogonal matching pursuit (AOMP) is proposed. The AOMP algorithm allows one to estimate one nonzero coefficient at a time until all nonzero coefficients are found without losing the optimality and the sparsity, thus avoiding the curse of dimensionality often encountered in Volterra system identification.
