{"title":"Software interface for processing hydroacoustic signals","authors":"A. Tugbaeva, V. Milich, A. Itskov, V. Shirokov","doi":"10.22213/ie022146","DOIUrl":null,"url":null,"abstract":"Over the past decades, signal processing methods have become increasingly widespread due to the progress of computer technology and the achievement of significant results. Signal processing is understood as the process of restoring an information message that will be accessible to human perception. To achieve this goal, there are already many mathematical methods that are applied depending on the specific problem. Working with a large data sample creates the need to create signal processing systems. An equally important factor is the limited access for human experimentation in natural conditions. The aim of the work is the ability to analyze signals based on the proposed algorithms. The goal is achieved by developing a software interface that allows processing and investigating the received signals.","PeriodicalId":238277,"journal":{"name":"Proceedings of the 33th All-Russian Youth Exhibition of Innovations - InnoExh '22/1","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 33th All-Russian Youth Exhibition of Innovations - InnoExh '22/1","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22213/ie022146","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
Over the past decades, signal processing methods have become increasingly widespread due to the progress of computer technology and the achievement of significant results. Signal processing is understood as the process of restoring an information message that will be accessible to human perception. To achieve this goal, there are already many mathematical methods that are applied depending on the specific problem. Working with a large data sample creates the need to create signal processing systems. An equally important factor is the limited access for human experimentation in natural conditions. The aim of the work is the ability to analyze signals based on the proposed algorithms. The goal is achieved by developing a software interface that allows processing and investigating the received signals.