Steady-state analysis of diffusion least-mean squares with deficient length over wireless sensor networks-Reference-Cited by-同舟云学术

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Steady-state analysis of diffusion least-mean squares with deficient length over wireless sensor networks

Published:2023-06-19 Issue:11 Volume:105 Page:2443-2458
ISSN:0010-485X
Container-title:Computing
language:en
Short-container-title:Computing

Author:

Azarnia Ghanbar^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00607-023-01187-5.pdf

Reference25 articles.

1. Azarnia G, Tinati MA, Sharifi AA, Shiri H (2020) Incremental and diffusion compressive sensing strategies over distributed networks. Digital Signal Process 101:102732

2. Cattivelli FS, Sayed AH (2010) Diffusion LMS strategies for distributed estimation. IEEE Trans Signal Process 58(3):1035–1048

3. Gao W, Chen J, Richard C (2021) Transient theoretical analysis of diffusion RLS algorithm for cyclostationary colored inputs. IEEE Signal Process Lett 28:1160–1164

4. Zayyani H (2021) Robust minimum disturbance diffusion LMS for distributed estimation. IEEE Trans Circuits Syst II Express Briefs 68(1):521–525

5. Khalili A, Vahidpour V, Rastegarnia A, Bazzi WM, Sanei S (2021) Partial diffusion kalman filter with adaptive combiners. IEEE Trans Aerosp Electron Syst 57(3):1972–1980

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