VARIABLE LENGTH ADAPTIVE FILTERING WITHIN INCREMENTAL LEARNING ALGORITHMS FOR DISTRIBUTED NETWORKS
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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.
Full text not available from this repository.| Item Type: | Conference or Workshop Item (UNSPECIFIED) | ||||||||||||
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| Divisions : | Surrey research (other units) | ||||||||||||
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| Date : | 1 January 2008 | ||||||||||||
| DOI : | 10.1109/ACSSC.2008.5074397 | ||||||||||||
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| 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 | ||||||||||||
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| Depositing User : | Symplectic Elements | ||||||||||||
| Date Deposited : | 17 May 2017 13:25 | ||||||||||||
| Last Modified : | 23 Jan 2020 18:35 | ||||||||||||
| URI: | http://epubs.surrey.ac.uk/id/eprint/839185 |
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