Kai-Sheng Song, Ta-Hsin Li
JASA
This paper considers the least-squares estimator of a nonlinear regression problem where the regression function is a sum of sinusoids with unknown amplitudes and frequencies. It provides a complete proof of the consistency and the asymptotic normality of the nonlinear least-squares estimator after an expository discussion on the gaps and flaws in the related literature. © 2011 Taylor & Francis.
Kai-Sheng Song, Ta-Hsin Li
JASA
Ta-Hsin Li
JRSSC: Applied Statistics
Tom Vercauteren, Pradeep Aggarwal, et al.
IEEE TSP
Ying Li, Ta-Hsin Li, et al.
SOLI 2013