{"title":"Detection fo Short-Term Nonlinear Wave Phenomena Using Higher-Order Wavelet-Based \"Spectra\"","authors":"S. Mehta, E. Powers, In-Seung Park","doi":"10.1109/ISSPA.1996.615125","DOIUrl":null,"url":null,"abstract":"The objective of this paper is to utilize a-mvelet-based higher-order spectral analysis approach to detect and quantify short-term nonlinear phenomena. The original concept appeared in [6]. The concept will be demonstrated by utilizing it to detect short-term nonlinear wave phenomena in laboratory generated random sea wave data. Such phenomena is responsible for the generation of large amplitude waves. A second-order time domain Volterra model is also utilized to demonstrate phase locking of the first-and second-order components .","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth International Symposium on Signal Processing and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.1996.615125","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 objective of this paper is to utilize a-mvelet-based higher-order spectral analysis approach to detect and quantify short-term nonlinear phenomena. The original concept appeared in [6]. The concept will be demonstrated by utilizing it to detect short-term nonlinear wave phenomena in laboratory generated random sea wave data. Such phenomena is responsible for the generation of large amplitude waves. A second-order time domain Volterra model is also utilized to demonstrate phase locking of the first-and second-order components .