Title
On the Sparsity-Based Identification and Compensation of Hammerstein Systems.
Abstract
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
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. Avila162.22
Leonardo T. Duarte2117.06
Luiz W. P. Biscainho311120.16