{"title":"Multi-channel generalized average sampling and reconstruction over shift invariant spaces","authors":"S. Yugesh , R.N. Mohapatra","doi":"10.1016/j.nonrwa.2025.104444","DOIUrl":null,"url":null,"abstract":"<div><div>A multichannel generalized average sampling is analyzed in a shift invariant space <span><math><mrow><mi>V</mi><mrow><mo>(</mo><mi>φ</mi><mo>)</mo></mrow></mrow></math></span> with frame generator <span><math><mrow><mi>φ</mi><mo>∈</mo><msup><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msup><mrow><mo>(</mo><mi>R</mi><mo>)</mo></mrow><mo>.</mo></mrow></math></span> We present the essential and comprehensive criteria that guarantee that multi-channel generalized average sampling expansion for uniform sampling points. A nonuniform sampling version of the problem is also analyzed.</div></div>","PeriodicalId":49745,"journal":{"name":"Nonlinear Analysis-Real World Applications","volume":"87 ","pages":"Article 104444"},"PeriodicalIF":1.8000,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nonlinear Analysis-Real World Applications","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1468121825001300","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
A multichannel generalized average sampling is analyzed in a shift invariant space with frame generator We present the essential and comprehensive criteria that guarantee that multi-channel generalized average sampling expansion for uniform sampling points. A nonuniform sampling version of the problem is also analyzed.
期刊介绍:
Nonlinear Analysis: Real World Applications welcomes all research articles of the highest quality with special emphasis on applying techniques of nonlinear analysis to model and to treat nonlinear phenomena with which nature confronts us. Coverage of applications includes any branch of science and technology such as solid and fluid mechanics, material science, mathematical biology and chemistry, control theory, and inverse problems.
The aim of Nonlinear Analysis: Real World Applications is to publish articles which are predominantly devoted to employing methods and techniques from analysis, including partial differential equations, functional analysis, dynamical systems and evolution equations, calculus of variations, and bifurcations theory.