Fast Parametric Fourier Transform

Ponomarev Alexey, Ponomareva Olga, Smirnova Natalia
{"title":"Fast Parametric Fourier Transform","authors":"Ponomarev Alexey, Ponomareva Olga, Smirnova Natalia","doi":"10.1109/DVM55487.2022.9930933","DOIUrl":null,"url":null,"abstract":"The purpose of the study is to the develop new discrete Fourier transform, by generalizing the classical discrete Fourier transform (DFT) in the form of a parametric discrete Fourier transform (DFT-P) and the development of fast algorithms for implementing this type of transform - the fast parametric discrete Fourier transform (FFT-P). The classical Fourier processing of complex vibroacoustic finite discrete signals (VFD signals), based on DFT and fast Fourier transform (FFT) algorithm, is the most powerful method of digital analysis, modeling, optimization, improvement of control and decision making in solving problems of machine dynamics and vibroacoustic. The theoretical basis of the classical Fourier processing of VFD signals is the discrete Fourier transform. The practical base of the classical Fourier processing of VFD signals is the fast Fourier transform algorithms. However, the practice of applying the classical Fourier processing of VFD signals of a complex structure containing both deterministic periodic and random signals, on the one hand, confirming the effectiveness of the classical Fourier processing, on the other hand revealed a number of negative effects inherent in this type of digital signal processing (DSP). The aliasing effect, the scalloping effect, the picket fence effect, significantly negatively affect the effectiveness of analysis, modeling, optimization, improvement of control and decision-making in the study. To improve the efficiency and effectiveness of the Fourier processing of VFD signals, authors of this work developed a generalization of the theoretical basis of the classical Fourier processing - DFT in the form of a parametric DFT (DFT-P). Since the direct application of the parametric Fourier processing of VFD signals (as well as the use of the classical Fourier processing of VFD signals) requires complex multiplications, fast procedures are needed for the practical implementation of this type of VFD signals. We have developed fast procedures for implementing DFT-P by time decimation. Parametric FFT (FFT-P) with replacement (in place) and without replacement (no place) are proposed. The estimation of the efficiency of FFT-P algorithms is given. The practical significance of the work lies in the fact that the developed algorithms for the parametric fast Fourier transform make it possible to reduce the computational costs for performing parametric discrete transformations by three or more orders of magnitude.","PeriodicalId":227980,"journal":{"name":"2022 International Conference on Dynamics and Vibroacoustics of Machines (DVM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Dynamics and Vibroacoustics of Machines (DVM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DVM55487.2022.9930933","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The purpose of the study is to the develop new discrete Fourier transform, by generalizing the classical discrete Fourier transform (DFT) in the form of a parametric discrete Fourier transform (DFT-P) and the development of fast algorithms for implementing this type of transform - the fast parametric discrete Fourier transform (FFT-P). The classical Fourier processing of complex vibroacoustic finite discrete signals (VFD signals), based on DFT and fast Fourier transform (FFT) algorithm, is the most powerful method of digital analysis, modeling, optimization, improvement of control and decision making in solving problems of machine dynamics and vibroacoustic. The theoretical basis of the classical Fourier processing of VFD signals is the discrete Fourier transform. The practical base of the classical Fourier processing of VFD signals is the fast Fourier transform algorithms. However, the practice of applying the classical Fourier processing of VFD signals of a complex structure containing both deterministic periodic and random signals, on the one hand, confirming the effectiveness of the classical Fourier processing, on the other hand revealed a number of negative effects inherent in this type of digital signal processing (DSP). The aliasing effect, the scalloping effect, the picket fence effect, significantly negatively affect the effectiveness of analysis, modeling, optimization, improvement of control and decision-making in the study. To improve the efficiency and effectiveness of the Fourier processing of VFD signals, authors of this work developed a generalization of the theoretical basis of the classical Fourier processing - DFT in the form of a parametric DFT (DFT-P). Since the direct application of the parametric Fourier processing of VFD signals (as well as the use of the classical Fourier processing of VFD signals) requires complex multiplications, fast procedures are needed for the practical implementation of this type of VFD signals. We have developed fast procedures for implementing DFT-P by time decimation. Parametric FFT (FFT-P) with replacement (in place) and without replacement (no place) are proposed. The estimation of the efficiency of FFT-P algorithms is given. The practical significance of the work lies in the fact that the developed algorithms for the parametric fast Fourier transform make it possible to reduce the computational costs for performing parametric discrete transformations by three or more orders of magnitude.
快速参数傅里叶变换
本研究的目的是通过将经典离散傅里叶变换(DFT)推广为参数离散傅里叶变换(DFT- p)的形式,并开发实现这种变换的快速算法-快速参数离散傅里叶变换(FFT-P),来发展新的离散傅里叶变换。基于DFT和快速傅立叶变换(FFT)算法对复杂振动声有限离散信号(VFD信号)进行经典傅立叶处理,是解决机械动力学和振动声问题中最有力的数字分析、建模、优化、改进控制和决策的方法。经典的VFD信号傅里叶处理的理论基础是离散傅里叶变换。经典的VFD信号傅里叶处理的实用基础是快速傅里叶变换算法。然而,对包含确定性周期信号和随机信号的复杂结构的VFD信号应用经典傅里叶处理的实践,一方面证实了经典傅里叶处理的有效性,另一方面揭示了这种类型的数字信号处理(DSP)固有的一些负面影响。混叠效应、扇贝效应、尖桩栅栏效应显著影响了研究中分析、建模、优化、改进控制和决策的有效性。为了提高VFD信号的傅里叶处理的效率和有效性,本工作的作者以参数DFT (DFT- p)的形式发展了经典傅里叶处理的理论基础- DFT的推广。由于直接应用VFD信号的参数傅里叶处理(以及使用VFD信号的经典傅里叶处理)需要复杂的乘法,因此需要快速的程序来实际实现这种类型的VFD信号。我们开发了通过时间抽取实现DFT-P的快速程序。提出了有替换和无替换的参数化FFT (FFT- p)。给出了FFT-P算法的效率估计。这项工作的实际意义在于,所开发的参数快速傅里叶变换算法使执行参数离散变换的计算成本降低了三个或更多个数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信