Artículo
Efficient Nonlinear Wiener Model Identification Using a Complex-Valued Simplicial Canonical Piecewise Linear Filter
Fecha de publicación:
05/2007
Editorial:
Institute of Electrical and Electronics Engineers
Revista:
IEEE Transactions On Signal Processing
ISSN:
1053-587X
e-ISSN:
1941-0476
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
This paper proposes an efficient adaptive realization of the Wiener model for the identification of complex-valued nonlinear systems. Using a two-dimensional simplicial canonical piecewise linear filter for the complex-valued nonlinear mapping, we derive a realization of the Wiener model requiring fewer parameters than previous approaches. An adaptive implementation of the proposed Wiener model is derived, and local convergence analysis for the updating algorithm is presented. The tradeoff between computational complexity and modeling performance is discussed. Simulations of a system identification example show that the proposed algorithm can provide similar or better performance than other approaches in terms of computational complexity, convergence speed, and final mean-squared error (MSE).
Palabras clave:
NONLINEAR
,
MODEL
,
WIENER
,
EFFICIENCY
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Articulos(IIIE)
Articulos de INST.DE INVEST.EN ING.ELECTRICA "A.DESAGES"
Articulos de INST.DE INVEST.EN ING.ELECTRICA "A.DESAGES"
Citación
Cousseau, Juan Edmundo; Figueroa, Jose Luis; Werner, Stefan; Laakso, Timo I.; Efficient Nonlinear Wiener Model Identification Using a Complex-Valued Simplicial Canonical Piecewise Linear Filter; Institute of Electrical and Electronics Engineers; IEEE Transactions On Signal Processing; 55; 5; 5-2007; 1780-1792
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