A method based on Structured Nonlinear Total Least Norm is presented for estimating the parameters of exponentially damped sinusoidal signals in noise when the model order is unknown. It is compared to two other existing methods to show its robustness in recovering correct values of parameters when the model order is unknown, in spite of some large errors in measured data.
Zhang, Lei; Park, Haesun; Rosen, J. Ben.
Exponential Modeling with Unknown Model Order Using Structured Nonlinear Total Least Norm.
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