Title
Exponential Modeling with Unknown Model Order Using Structured Nonlinear Total Least Norm
Abstract
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.
Suggested Citation
Zhang, Lei; Park, Haesun; Rosen, J. Ben.
(2000).
Exponential Modeling with Unknown Model Order Using Structured Nonlinear Total Least Norm.
Retrieved from the University of Minnesota Digital Conservancy,
https://hdl.handle.net/11299/215413.