Performance analysis of quantized incremental LMS algorithm for distributed adaptive estimation

DOI10.1016/j.sigpro.2010.02.019zbMath1194.94131OpenAlexW132090950MaRDI QIDQ985641

Mohammad Ali Tinati, Azam Khalili, Amir Rastegarnia

Publication date: 6 August 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2010.02.019

zbMATH Keywords

energy conservationadaptive networksdistributed estimationDILMS algorithm

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (7)

Analysis of incremental augmented affine projection algorithm for distributed estimation of complex-valued signals ⋮ Efficient time-varying \(q\)-parameter design for \(q\)-incremental least mean square algorithm with noisy links ⋮ Localization over distributed mobile adaptive networks based on coarsely quantized data ⋮ Diffusion bias-compensation RLS estimation over noisy node-specific networks ⋮ Analysis of Normalized Least Mean Squares-Based Consensus Adaptive Filters under a General Information Condition ⋮ Analysis of compressed distributed adaptive filters ⋮ Distributed LMS estimation over networks with quantised communications

Cites Work

• Incremental Adaptive Strategies Over Distributed Networks
• Diffusion recursive least-squares for distributed estimation over adaptive networks
• Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis

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