{"title":"Sparsity-aware distributed adaptive filtering with robustness against impulsive noise and low SNR","authors":"","doi":"10.1007/s11235-024-01124-7","DOIUrl":null,"url":null,"abstract":"<h3>Abstract</h3> <p>Distributed inference tasks could be performed by adaptive filtering techniques. Several enhancement strategies for such techniques were proposed, such as sparsity-aware algorithms, coefficients reuse and correntropy-based cost functions in the case of impulsive noise. In this paper, a general framework based on Lagrange multipliers for the derivation of sophisticated algorithms that incorporate most of these improvements is described. A new general identification algorithm is derived as an example of the proposed approach and its performance is assessed in a distributed setting. </p>","PeriodicalId":51194,"journal":{"name":"Telecommunication Systems","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Telecommunication Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s11235-024-01124-7","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Distributed inference tasks could be performed by adaptive filtering techniques. Several enhancement strategies for such techniques were proposed, such as sparsity-aware algorithms, coefficients reuse and correntropy-based cost functions in the case of impulsive noise. In this paper, a general framework based on Lagrange multipliers for the derivation of sophisticated algorithms that incorporate most of these improvements is described. A new general identification algorithm is derived as an example of the proposed approach and its performance is assessed in a distributed setting.
期刊介绍：
Telecommunication Systems is a journal covering all aspects of modeling, analysis, design and management of telecommunication systems. The journal publishes high quality articles dealing with the use of analytic and quantitative tools for the modeling, analysis, design and management of telecommunication systems covering:
Performance Evaluation of Wide Area and Local Networks;
Network Interconnection;
Wire, wireless, Adhoc, mobile networks;
Impact of New Services (economic and organizational impact);
Fiberoptics and photonic switching;
DSL, ADSL, cable TV and their impact;
Design and Analysis Issues in Metropolitan Area Networks;
Networking Protocols;
Dynamics and Capacity Expansion of Telecommunication Systems;
Multimedia Based Systems, Their Design Configuration and Impact;
Configuration of Distributed Systems;
Pricing for Networking and Telecommunication Services;
Performance Analysis of Local Area Networks;
Distributed Group Decision Support Systems;
Configuring Telecommunication Systems with Reliability and Availability;
Cost Benefit Analysis and Economic Impact of Telecommunication Systems;
Standardization and Regulatory Issues;
Security, Privacy and Encryption in Telecommunication Systems;
Cellular, Mobile and Satellite Based Systems.
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