{"title":"Optimal reconstruction of water-waves from noisy pressure measurements at the seabed","authors":"Joris Labarbe, Alexandre Vieira, Didier Clamond","doi":"10.1016/j.compfluid.2024.106437","DOIUrl":null,"url":null,"abstract":"<div><div>We consider the problem of recovering the surface wave profile from noisy bottom pressure measurements with (<em>a priori</em> unknown) arbitrary pressure at the surface. Without noise, the direct approach developed in Clamond and Labarbe (2023) provides an effective way to recover the sea surface. However, the assumption of analyticity for the measured pressure renders this method inefficient in the presence of noise. In order to address this issue, we introduce here an optimisation procedure based on the minimisation of a distance between a recovered bottom pressure and its measurement. Such method proves to be well-designed to handle perturbed signals. We illustrate the effectiveness of this approach in the recovery of gravity-capillary waves from unfiltered noisy data.</div></div>","PeriodicalId":287,"journal":{"name":"Computers & Fluids","volume":"284 ","pages":"Article 106437"},"PeriodicalIF":2.5000,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Fluids","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045793024002688","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
We consider the problem of recovering the surface wave profile from noisy bottom pressure measurements with (a priori unknown) arbitrary pressure at the surface. Without noise, the direct approach developed in Clamond and Labarbe (2023) provides an effective way to recover the sea surface. However, the assumption of analyticity for the measured pressure renders this method inefficient in the presence of noise. In order to address this issue, we introduce here an optimisation procedure based on the minimisation of a distance between a recovered bottom pressure and its measurement. Such method proves to be well-designed to handle perturbed signals. We illustrate the effectiveness of this approach in the recovery of gravity-capillary waves from unfiltered noisy data.
期刊介绍:
Computers & Fluids is multidisciplinary. The term ''fluid'' is interpreted in the broadest sense. Hydro- and aerodynamics, high-speed and physical gas dynamics, turbulence and flow stability, multiphase flow, rheology, tribology and fluid-structure interaction are all of interest, provided that computer technique plays a significant role in the associated studies or design methodology.