{"title":"相位和频率噪声的分形维数:振荡器表征的另一种方法","authors":"J. Gagnepain, J. Groslambert, R. Brendel","doi":"10.1109/FREQ.1985.200828","DOIUrl":null,"url":null,"abstract":"An e v a l u a t i o n i s made o f t h e p o s s i b i l i t y o f a p p l y i n g M a n d e l b r o t ' s c o n c e p t o f f r a c t a l s t o t h e c h a r a c t e r i z a t i o n o f no ises and i n p a r t i c u l a r of phase and $requency f l u c t u a t i o n s . Two methods are considered. The f i r s t one c o n s i s t s i n m e a s u r i n g w i t h a gauge t h e appar e n t l e n g t h o f t h e s i g n a l : t h e f r a c t a l d i m e n s i o n o f w h i t e and random walk no i ses a re ca l cu la ted with this method. The second one i s based on the space f i l l i n g a b i l i t y o f t h e s i g n a l . The method i s a p p l i e d t o l / f a noises, which are s imulated on a computer, by superpos i t i o n o f l o r e n t z i a n s p e c t r a , f o r i n t e g e r and m inte g e r v a l u e s o f t h e c o e f f i c i e n t a . The dependence nf the f r a c t a l d i m e n s i o n D as a f u n c t i o n o f t h e spectral dms i t y i s es tab l i shed.","PeriodicalId":291824,"journal":{"name":"39th Annual Symposium on Frequency Control","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1985-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"The Fractal Dimension of Phase and Frequency Noises: Another Approach to Oscillator Characterization\",\"authors\":\"J. Gagnepain, J. Groslambert, R. Brendel\",\"doi\":\"10.1109/FREQ.1985.200828\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An e v a l u a t i o n i s made o f t h e p o s s i b i l i t y o f a p p l y i n g M a n d e l b r o t ' s c o n c e p t o f f r a c t a l s t o t h e c h a r a c t e r i z a t i o n o f no ises and i n p a r t i c u l a r of phase and $requency f l u c t u a t i o n s . Two methods are considered. The f i r s t one c o n s i s t s i n m e a s u r i n g w i t h a gauge t h e appar e n t l e n g t h o f t h e s i g n a l : t h e f r a c t a l d i m e n s i o n o f w h i t e and random walk no i ses a re ca l cu la ted with this method. The second one i s based on the space f i l l i n g a b i l i t y o f t h e s i g n a l . The method i s a p p l i e d t o l / f a noises, which are s imulated on a computer, by superpos i t i o n o f l o r e n t z i a n s p e c t r a , f o r i n t e g e r and m inte g e r v a l u e s o f t h e c o e f f i c i e n t a . The dependence nf the f r a c t a l d i m e n s i o n D as a f u n c t i o n o f t h e spectral dms i t y i s es tab l i shed.\",\"PeriodicalId\":291824,\"journal\":{\"name\":\"39th Annual Symposium on Frequency Control\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1985-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"39th Annual Symposium on Frequency Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FREQ.1985.200828\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"39th Annual Symposium on Frequency Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FREQ.1985.200828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
摘要
对 M a n d e l b r o t 的 c o n c e p t o f r a c t a l s o t t o t e c h a r a c t e r i z a t i o n o f no ises 和 i n p a r t i c u l a r o f phase and $requency f l u c t u a t i o n 进 行 了 研 究 。考虑了两种方法。第一种方法是在测量时:用这种方法测量随机游走无损信号。第二种方法是基于空间的随机游走。该方法是在计算机上通过叠加噪声、噪声和声学噪声来模拟噪声的。作为光谱 dms i t y 的一个 f u n c t i o n,对 f r a c t a l d i m e n s i o n D 的依赖性是讳莫如深的。
The Fractal Dimension of Phase and Frequency Noises: Another Approach to Oscillator Characterization
An e v a l u a t i o n i s made o f t h e p o s s i b i l i t y o f a p p l y i n g M a n d e l b r o t ' s c o n c e p t o f f r a c t a l s t o t h e c h a r a c t e r i z a t i o n o f no ises and i n p a r t i c u l a r of phase and $requency f l u c t u a t i o n s . Two methods are considered. The f i r s t one c o n s i s t s i n m e a s u r i n g w i t h a gauge t h e appar e n t l e n g t h o f t h e s i g n a l : t h e f r a c t a l d i m e n s i o n o f w h i t e and random walk no i ses a re ca l cu la ted with this method. The second one i s based on the space f i l l i n g a b i l i t y o f t h e s i g n a l . The method i s a p p l i e d t o l / f a noises, which are s imulated on a computer, by superpos i t i o n o f l o r e n t z i a n s p e c t r a , f o r i n t e g e r and m inte g e r v a l u e s o f t h e c o e f f i c i e n t a . The dependence nf the f r a c t a l d i m e n s i o n D as a f u n c t i o n o f t h e spectral dms i t y i s es tab l i shed.