PERFORMANCE LIMITS OF LMS-BASED ADAPTIVE NETWORKS

Distributed and Collaborative Signal Processing

Přednášející: Xiaochuan Zhao, Autoři: Xiaochuan Zhao, Ali H. Sayed, University of California Los Angeles, United States

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.

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http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5947171

Informace o přednášce

Nahráno:	2011-05-27 10:50 - 11:10, Club B
Přidáno:	15. 6. 2011 20:48
Počet zhlédnutí:	126
Rozlišení videa:	1024x576 px, 512x288 px
Délka videa:	0:21:18
Audio stopa:	MP3 [7.20 MB], 0:21:18