Abstract | ||
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This letter investigates blind identification and compensation of Hammerstein systems, whose inputs are sparse in the frequency domain. In our analysis, the Hammerstein system comprises an antisymmetric invertible polynomial nonlinear curve followed by a minimum-phase linear system. We show analytically in a simple scenario and empirically in more complex situations that the Hammerstein system is ... |
Year | DOI | Venue |
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2017 | 10.1109/LSP.2017.2720542 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Nonlinear distortion,Linear systems,Nonlinear systems,Frequency-domain analysis,Electronic mail,Analytical models | Pattern recognition,Hammerstein systems,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
24 | 9 | 1070-9908 |
Citations | PageRank | References |
1 | 0.36 | 6 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Flávio R. Avila | 1 | 6 | 2.22 |
Leonardo T. Duarte | 2 | 11 | 7.06 |
Luiz W. P. Biscainho | 3 | 111 | 20.16 |