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What is Noisy Data Impulse Response Estimation about?

The paper investigates impulse response estimation of linear time-invariant systems using noisy finite-length input-output data. It addresses the challenges of overparametrization and model selection, proposing a method that evaluates estimator quality by minimizing estimation errors while considering noise effects. The approach provides probabilistic bounds on errors, facilitating systematic model comparison and selection based on bias-variance tradeoffs.

Author

mustafasaadk9

Language

EN