{"title":"基于高阶小波的“谱”检测短期非线性波动现象","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":"{\"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}","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}
Detection fo Short-Term Nonlinear Wave Phenomena Using Higher-Order Wavelet-Based "Spectra"
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 .