Analyzing the Nonlinear System by Designing an Optimum Digital Filter named Hermitian-Wiener Filter | Zendy

Qiaoyu Wang | Zendy; Kai Kang | Zendy; Jiayi Meng | Zendy

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Analyzing the Nonlinear System by Designing an Optimum Digital Filter named Hermitian-Wiener Filter

Author(s) -

Qiaoyu Wang,

Kai Kang,

Jiayi Meng

Publication year - 2020

Publication title -

journal of computer science research

Language(s) - English

Resource type - Journals

ISSN - 2630-5151

DOI - 10.30564/jcsr.v2i3.2135

Subject(s) - wiener filter , hermitian matrix , filter (signal processing) , nonlinear system , computer science , control theory (sociology) , wiener deconvolution , nonlinear filter , mathematics , filter design , algorithm , artificial intelligence , physics , pure mathematics , blind deconvolution , control (management) , quantum mechanics , computer vision , deconvolution

Article history Received: 6 July 2020 Accepted: 6 July 2020 Published Online: 30 July 2020 The classical Wiener filter was engaged into identifying the linear structures, resulting in clear and incredible drawbacks in working with nonlinear integrated system. Currently, the Hermitian-Wiener system are suitable for unpredicted sub-system that consists of numerous and complex inputs. The system introduces a two-stage to analyze the subintervals where the output nonlinearities are noninvertible, through using the unknown orders and parameters. Finally, a practical strategy would be discussed to analyze the nonlinear parameters.

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