{"title":"WaveConstLib: A java library for signal analysis and wavelet construction","authors":"Çağla Sarvan Cibil , Nalan Özkurt","doi":"10.1016/j.softx.2025.102095","DOIUrl":null,"url":null,"abstract":"<div><div>Wavelet theory (WT) is essential for analyzing non-stationary signals, particularly in real-world applications requiring time-frequency analysis. A key challenge is to identify the optimal wavelet function that matches signal characteristics, enabling efficient and precise analysis. This study presents WaveConstLib, an open-source Java library for wavelet analysis and construction. It provides tools to create wavelet functions tailored to specific signals while adhering to WT conditions. Unlike traditional methods, WaveConstLib employs multi-objective evolutionary algorithms (MOEAs) optimization to construct signal-specific wavelet functions, ensuring superior adaptability and performance. The library includes numerical implementations of first-generation wavelet construction techniques, along with signal processing tools, wavelet operations, and transformations applicable to diverse tasks. WaveConstLib simplifies the construction of wavelet functions that extract distinctive signal information and supports integration into external systems, making it a valuable resource for research and practical applications.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"30 ","pages":"Article 102095"},"PeriodicalIF":2.4000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711025000627","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/22 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
Wavelet theory (WT) is essential for analyzing non-stationary signals, particularly in real-world applications requiring time-frequency analysis. A key challenge is to identify the optimal wavelet function that matches signal characteristics, enabling efficient and precise analysis. This study presents WaveConstLib, an open-source Java library for wavelet analysis and construction. It provides tools to create wavelet functions tailored to specific signals while adhering to WT conditions. Unlike traditional methods, WaveConstLib employs multi-objective evolutionary algorithms (MOEAs) optimization to construct signal-specific wavelet functions, ensuring superior adaptability and performance. The library includes numerical implementations of first-generation wavelet construction techniques, along with signal processing tools, wavelet operations, and transformations applicable to diverse tasks. WaveConstLib simplifies the construction of wavelet functions that extract distinctive signal information and supports integration into external systems, making it a valuable resource for research and practical applications.
期刊介绍：
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.
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