Engineering
2 years ago

New method revolutionizes accurate data fitting in noisy environments.

Journal of Computational and Applied Mathematics
Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data
Feng Ding

Paper Summary

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The article explores methods for solving linear fitting problems using least squares and multi-innovation least squares. It discusses various techniques in system identification and extends the results to systems with colored noises.