Variable length adaptive filtering within incremental learning algorithms for distributed networks

In this paper we propose the use of variable length adaptive filtering within the context of incremental learning for distributed networks. Algorithms for such incremental learning strategies must have low computational complexity and require minimal communication between nodes as compared to centra...

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Bibliographic Details

Main Authors:	Leilei Li, Yonggang Zhang, Jonathon Chambers
Format:	Default Conference proceeding
Published:	2008
Subjects:	Mechanical engineering not elsewhere classified Variable tap-length Distributed processing Adaptive filters Incremental algorithm Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/5538
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