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Identification of Sparse Volterra Systems: An Almost Orthogonal Matching Pursuit Approach

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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… Click to show full abstract

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.

Keywords: orthogonal matching; almost orthogonal; volterra systems; identification sparse; sparse volterra; matching pursuit

Journal Title: IEEE Transactions on Automatic Control
Year Published: 2022

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