{"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}
引用次数: 0
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.