{"title":"基于小波的斯托克韦尔变换相位和幅度关系研究","authors":"K. N. Singh, Sanjeev Kumar","doi":"10.1142/s1793962323500368","DOIUrl":null,"url":null,"abstract":"This paper establishes a relationship between the phase and log-magnitude of the Stockwell transform (S-transform). The proposed relationship is derived by defining the S-Transform in terms of wavelet functions. The proposed work is an extension of the study [Holighaus N., Koliander G., Průša Z., Abreu L. D., Characterization of analytic wavelet transforms and a new phaseless reconstruction algorithm, IEEE Trans. Signal Process. 67(15):3894–3908, 2019] carried out to establish a relationship between the phase and magnitude of the continuous wavelet transform. Our methodology exploits the relationship between partial derivatives of the real and imaginary parts of the wavelet and S-transform for a couple of window functions (Gaussian and bi-Gaussian). Apart from the continuous case, these relationships are explicitly shown for the discrete version of the S-transform.","PeriodicalId":45889,"journal":{"name":"International Journal of Modeling Simulation and Scientific Computing","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A wavelet-based study on phase and magnitude relationships of the Stockwell transform\",\"authors\":\"K. N. Singh, Sanjeev Kumar\",\"doi\":\"10.1142/s1793962323500368\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper establishes a relationship between the phase and log-magnitude of the Stockwell transform (S-transform). The proposed relationship is derived by defining the S-Transform in terms of wavelet functions. The proposed work is an extension of the study [Holighaus N., Koliander G., Průša Z., Abreu L. D., Characterization of analytic wavelet transforms and a new phaseless reconstruction algorithm, IEEE Trans. Signal Process. 67(15):3894–3908, 2019] carried out to establish a relationship between the phase and magnitude of the continuous wavelet transform. Our methodology exploits the relationship between partial derivatives of the real and imaginary parts of the wavelet and S-transform for a couple of window functions (Gaussian and bi-Gaussian). Apart from the continuous case, these relationships are explicitly shown for the discrete version of the S-transform.\",\"PeriodicalId\":45889,\"journal\":{\"name\":\"International Journal of Modeling Simulation and Scientific Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2022-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Modeling Simulation and Scientific Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/s1793962323500368\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Modeling Simulation and Scientific Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s1793962323500368","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0
摘要
本文建立了斯托克韦尔变换(s变换)的相位与对数幅值之间的关系。该关系是通过定义小波函数的s变换而得到的。提出的工作是研究的延伸[Holighaus N., Koliander G., Průša Z., Abreu L. D.,解析小波变换的表征和一种新的无相重构算法,IEEE。信号处理,67(15):3894-3908,2019],建立了连续小波变换的相位和幅值之间的关系。我们的方法利用小波的实部和虚部偏导数和s变换对一对窗口函数(高斯和双高斯)之间的关系。除了连续的情况外,这些关系在s变换的离散版本中被明确地显示出来。
A wavelet-based study on phase and magnitude relationships of the Stockwell transform
This paper establishes a relationship between the phase and log-magnitude of the Stockwell transform (S-transform). The proposed relationship is derived by defining the S-Transform in terms of wavelet functions. The proposed work is an extension of the study [Holighaus N., Koliander G., Průša Z., Abreu L. D., Characterization of analytic wavelet transforms and a new phaseless reconstruction algorithm, IEEE Trans. Signal Process. 67(15):3894–3908, 2019] carried out to establish a relationship between the phase and magnitude of the continuous wavelet transform. Our methodology exploits the relationship between partial derivatives of the real and imaginary parts of the wavelet and S-transform for a couple of window functions (Gaussian and bi-Gaussian). Apart from the continuous case, these relationships are explicitly shown for the discrete version of the S-transform.