Identification of linear systems in the presence of nonlinear distortions

IEEE Transactions on Instrumentation and Measurement

Volumn 50, Issue 4, 2001, Pages 855-863

  Pintelon, Rik ^a,b   Schoukens, Johan ^a,b   Van Moer, Wendy ^a,b   Rolain, Yves ^a,b  

^a IEEE   (Belgium)

^b VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

Author keywords

Frequency domain; Linear systems; Nonlinear distortions; Nonparametric noise models; System identification

Indexed keywords

NONPARAMTERIC NOISE MODELS;

ALGORITHMS; FREQUENCY DOMAIN ANALYSIS; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; NONLINEAR DISTORTION;

LINEAR CONTROL SYSTEMS;

EID: 0035414870     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/19.948288     Document Type: Conference Paper

References (14)

1. Parametric identification of linear systems in the presence of nonlinear distortions. A frequency domain approach
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3. Nonlinear distortions and multisine signals. Part I: Measuring the best linear approximation
4. Nonlinear distortions and multisine signals. Part II: Minimizing the distortion
5. Frequency domain analysis of nonlinear systems: General theory
6. Parametric identification of transfer functions in the frequency domain, a survey
7. Nonparametric frequency response functions estimators based on nonlinear averaging techniques
8. Frequency domain system identification using nonparametric noise models estimated from a small number of data sets
9. Model selection through a statistical analysis of the global minimum of a weighted nonlinear least squares cost function