| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1708309 | Applied Mathematics Letters | 2013 | 7 Pages |
Abstract
This letter presents a new method for continuous signal modeling. Firstly, the continuous signal can be represented as a function of the trigonometric functional extension (Fourier series). Fourier series of the signal are parameterized by the fundamental frequency and unknown parameters. Then, the gradient-based iterative identification algorithm is derived, for estimating parameters of the signal model with known and unknown frequencies, separately. Finally, the simulation results indicate that the proposed algorithm is effective.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Xiangli Li, Feng Ding,