A Novel Approach of Digital Filter Unit Noise Gain Minimization Based on Variable Function Optimization

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Abstract

In this work, a new and improved optimization approach that minimize the unit noise gain in state-space of digital filters is presented. The main idea is the formulation of the unit noise gain in the form of several variables function then can get the equivalent state-space by optimization method. From this new generalized matrix, a new state space is derived and guaranty the minimization of unit noise gain. From various simulations operated on different order digital filters, we show the superiority of the proposed Several Variables Function Optimization (SVFO) algorithm over existing method.
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一种基于变函数优化的数字滤波器单元噪声增益最小化方法
在这项工作中,提出了一种新的改进的优化方法,使数字滤波器的状态空间单元噪声增益最小。其主要思想是将单位噪声增益以多变量函数的形式表示,然后通过优化方法得到等效的状态空间。在此基础上,导出了一个新的状态空间,保证了单元噪声增益的最小化。通过对不同阶数数字滤波器的仿真,我们证明了所提出的多变量函数优化(SVFO)算法相对于现有方法的优越性。
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来源期刊
Journal of Electrical and Electronics Engineering
Journal of Electrical and Electronics Engineering Engineering-Electrical and Electronic Engineering
CiteScore
0.90
自引率
0.00%
发文量
0
审稿时长
16 weeks
期刊介绍: Journal of Electrical and Electronics Engineering is a scientific interdisciplinary, application-oriented publication that offer to the researchers and to the PhD students the possibility to disseminate their novel and original scientific and research contributions in the field of electrical and electronics engineering. The articles are reviewed by professionals and the selection of the papers is based only on the quality of their content and following the next criteria: the papers presents the research results of the authors, the papers / the content of the papers have not been submitted or published elsewhere, the paper must be written in English, as well as the fact that the papers should include in the reference list papers already published in recent years in the Journal of Electrical and Electronics Engineering that present similar research results. The topics and instructions for authors of this journal can be found to the appropiate sections.
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