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VARIABLE LENGTH ADAPTIVE FILTERING WITHIN INCREMENTAL LEARNING ALGORITHMS FOR DISTRIBUTED NETWORKS

Li, L, Zhang, Y and Chambers, JA (2008) VARIABLE LENGTH ADAPTIVE FILTERING WITHIN INCREMENTAL LEARNING ALGORITHMS FOR DISTRIBUTED NETWORKS In: 42nd Asilomar Conference on Signals, Systems and Computers, 2008-10-26 - 2008-10-29, Pacific Grove, CA.

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Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Li, LUNSPECIFIEDUNSPECIFIED
Zhang, YUNSPECIFIEDUNSPECIFIED
Chambers, JAj.a.chambers@surrey.ac.ukUNSPECIFIED
Date : 1 January 2008
Identification Number : 10.1109/ACSSC.2008.5074397
Contributors :
ContributionNameEmailORCID
UNSPECIFIEDMatthews, MBUNSPECIFIEDUNSPECIFIED
publisherIEEE, UNSPECIFIEDUNSPECIFIED
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Interdisciplinary Applications, Engineering, Electrical & Electronic, Telecommunications, Computer Science, Engineering, variable tap-length, distributed processing, adaptive filters, incremental algorithm, LMS ALGORITHM
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:25
Last Modified : 17 May 2017 13:25
URI: http://epubs.surrey.ac.uk/id/eprint/839185

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