Signal modeling using the gradient search |
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| Authors: | Xiangli Li Feng Ding |
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| Affiliation: | 1. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, PR China;2. Control Science and Engineering Research Center, Jiangnan University, Wuxi 214122, PR China |
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| 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. |
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| Keywords: | Signal modeling Fourier series Parameter estimation Gradient-based iteration Fundamental frequency |
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