Title :
Performance limits of LMS-based adaptive networks
Author :
Zhao, Xiaochuan ; Sayed, Ali H.
Author_Institution :
Department of Electrical Engineering, University of California, Los Angeles, 90095, USA
Abstract :
In this work we analyze the mean-square performance of different strategies for adaptation over two-node least-mean-squares (LMS) networks. The results highlight some interesting properties for adaptive networks in comparison to centralized solutions. The analysis reveals that the adapt-then-combine (ATC) adaptive network algorithm can achieve lower excess-mean-square-error (EMSE) than a centralized solution that is based on either block or incremental LMS strategies with the same convergence rate.
Keywords :
Adaptive systems; Algorithm design and analysis; Least squares approximation; Medical services; Noise; Performance analysis; Signal processing algorithms; LMS; adaptive networks; diffusion; fusion center; incremental;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague, Czech Republic
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5947171
