A correlation test-based validity monitoring procedure for online detecting the quality of nonlinear adaptive noise cancellation
DOI10.1080/00207720903199598zbMath1202.93147OpenAlexW2019059354MaRDI QIDQ3063813
Ashley Longden, Lifeng Zhang, Quanmin Zhu
Publication date: 15 December 2010
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207720903199598
Measures of association (correlation, canonical correlation, etc.) (62H20) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Stochastic systems in control theory (general) (93E03)
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Cites Work
- Maximum-power validation of models without higher-order fitting
- Development of omni-directional correlation functions for nonlinear model validation
- On the problem of ambiguities in maximum likelihood identification
- Model validity tests for non-linear signal processing applications
- A set of novel correlation tests for nonlinear system variables
- Input-output parametric models for non-linear systems Part I: deterministic non-linear systems
- A prediction-error and stepwise-regression estimation algorithm for non-linear systems
- Performance monitoring in non-linear adaptive noise cancellation
- Nonlinear model validation using correlation tests
- VALIDATING IDENTIFIED NONLINEAR MODELS WITH CHAOTIC DYNAMICS
- Multi-directional model validity tests for non-linear system identification
- Model validation tests for multivariable nonlinear models including neural networks
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