Advances in Crest Factor Minimization for Wide-Bandwidth Multi-Sine Signals with Non-Flat Amplitude Spectra

H-Juergen Althoff, Maximilian Eberhardt, Steffen Geinitz, Christian Linder
{"title":"Advances in Crest Factor Minimization for Wide-Bandwidth Multi-Sine Signals with Non-Flat Amplitude Spectra","authors":"H-Juergen Althoff, Maximilian Eberhardt, Steffen Geinitz, Christian Linder","doi":"10.3390/ioca2021-10908","DOIUrl":null,"url":null,"abstract":"Multi-sine excitation signals give spectroscopic insight into fast chemical processes over bandwidths from 101 Hz to 107 Hz. The crest factor (CF) determines the information density of a multi-sine signal. Minimizing the CF yields higher information density and is the goal of the presented work. Four algorithms and a combination of two of them are presented. The first two algorithms implement different iterative optimizations of the amplitude and phase angle values of the signal. The combined algorithm alternates between the first and second optimization algorithms. Additionally, a simulated annealing approach and a genetic algorithm optimizing the CF were implemented.","PeriodicalId":155422,"journal":{"name":"Computer Sciences & Mathematics Forum","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Sciences & Mathematics Forum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/ioca2021-10908","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Multi-sine excitation signals give spectroscopic insight into fast chemical processes over bandwidths from 101 Hz to 107 Hz. The crest factor (CF) determines the information density of a multi-sine signal. Minimizing the CF yields higher information density and is the goal of the presented work. Four algorithms and a combination of two of them are presented. The first two algorithms implement different iterative optimizations of the amplitude and phase angle values of the signal. The combined algorithm alternates between the first and second optimization algorithms. Additionally, a simulated annealing approach and a genetic algorithm optimizing the CF were implemented.
非平坦幅值谱宽频带多正弦信号波峰因子最小化研究进展
多正弦激励信号提供光谱洞察快速化学过程的带宽从101赫兹到107赫兹。波峰因子(CF)决定了多正弦信号的信息密度。最小化CF产生更高的信息密度,这是本文的目标。给出了四种算法以及其中两种算法的组合。前两种算法对信号的幅度和相位角值进行了不同的迭代优化。所述组合算法在第一和第二优化算法之间交替。此外,采用模拟退火法和遗传算法对CF进行了优化。
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