Periodic signal modeling using the gradient-based iterative estimation algorithm

摘要：

This paper derives a new method for periodic signal modeling. It models the periodic signal as a function of the trigonometric functional extension (Fourier Series). The Fourier Series of the periodic signal are parameterized by fundamental frequency and unknown coefficients and a gradient-based iterative identification algorithm is developed for estimating the unknown parameters. The proposed algorithms are able to estimate the fundamental frequency and the unknown coefficients simultaneously. Finally, the simulation results indicate that the proposed algorithm are effective.

关键词： Signal modeling Fourier Series Parameter estimation Gradient-based iterative identification

作者: LI Xiangli ZHOU Lincheng PAN Feng DING Ruifeng

作者单位: Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan Univ School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 1926-1931

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）