{"title":"傅里叶变换参数对波浪时程海谱重采样的影响","authors":"S. Pennino, V. Piscopo, A. Scamardella","doi":"10.1109/METROSEA.2018.8657868","DOIUrl":null,"url":null,"abstract":"The aim of the work is to analyse the incidence of Fourier transform parameters on sea spectrum resampling from wave time history, investigating how the selection of different parameters influences the rebuilt of the spectrum. Several cases have been examined to obtain a correlation between the recording time and the amplitude of the embodied window, useful to correctly resemble the input spectrum.","PeriodicalId":252792,"journal":{"name":"2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Incidence of Fourier transform parameters on sea spectrum resampling from wave time history\",\"authors\":\"S. Pennino, V. Piscopo, A. Scamardella\",\"doi\":\"10.1109/METROSEA.2018.8657868\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of the work is to analyse the incidence of Fourier transform parameters on sea spectrum resampling from wave time history, investigating how the selection of different parameters influences the rebuilt of the spectrum. Several cases have been examined to obtain a correlation between the recording time and the amplitude of the embodied window, useful to correctly resemble the input spectrum.\",\"PeriodicalId\":252792,\"journal\":{\"name\":\"2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/METROSEA.2018.8657868\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/METROSEA.2018.8657868","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Incidence of Fourier transform parameters on sea spectrum resampling from wave time history
The aim of the work is to analyse the incidence of Fourier transform parameters on sea spectrum resampling from wave time history, investigating how the selection of different parameters influences the rebuilt of the spectrum. Several cases have been examined to obtain a correlation between the recording time and the amplitude of the embodied window, useful to correctly resemble the input spectrum.
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