VARIABLE LENGTH ADAPTIVE FILTERING WITHIN INCREMENTAL LEARNING ALGORITHMS FOR DISTRIBUTED NETWORKS

L Li; Y Zhang; JA Chambers

doi:10.1109/ACSSC.2008.5074397

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VARIABLE LENGTH ADAPTIVE FILTERING WITHIN INCREMENTAL LEARNING ALGORITHMS FOR DISTRIBUTED NETWORKS

L Li, Y Zhang and JA Chambers

2008 42ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1-4, pp.225-229

42nd Asilomar Conference on Signals, Systems and Computers (Pacific Grove, CA, 26/10/2008 - 29/10/2008)

01/01/2008

DOI: https://doi.org/10.1109/ACSSC.2008.5074397

Abstract

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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Title: VARIABLE LENGTH ADAPTIVE FILTERING WITHIN INCREMENTAL LEARNING ALGORITHMS FOR DISTRIBUTED NETWORKS
Creators: L Li
Y Zhang
JA Chambers
Contributors: MB Matthews
IEEE (Publisher)
Publication Details: 2008 42ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1-4, pp.225-229
Conference: 42nd Asilomar Conference on Signals, Systems and Computers (Pacific Grove, CA, 26/10/2008 - 29/10/2008)
Date published: 01/01/2008
Date submitted: 17/05/2017
Identifiers: 99511978602346
Academic Unit: University of Surrey
Resource Type: Conference presentation

VARIABLE LENGTH ADAPTIVE FILTERING WITHIN INCREMENTAL LEARNING ALGORITHMS FOR DISTRIBUTED NETWORKS

Abstract

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Metrics

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