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Authors: Bei Xie and Tamal Bose

Affiliation: Virginia Polytechnic Institute and State University, United States

Keyword(s): Conjugate gradient adaptive filter, Partial update, Recursive algorithms.

Related Ontology Subjects/Areas/Topics: Adaptive Systems ; Digital Filter Design and Implementation ; Digital Signal Processing ; Signal Processing in Communications ; Telecommunications

Abstract: In practice, computational complexity is an important consideration of an adaptive signal processing system. A well-known approach to controlling computational complexity is applying partial update (PU) adaptive filters. In this paper, a partial update conjugate gradient (CG) algorithm is employed. Theoretical analyses of mean and mean-square performance are presented. The simulation results of different PU CG algorithms are shown. The performance of PU CG algorithms are also compared with PU recursive least squares (RLS) and PU Euclidean direction search (EDS) algorithms.

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Paper citation in several formats:
Xie, B. and Bose, T. (2011). PARTIAL UPDATE CONJUGATE GRADIENT ALGORITHMS FOR ADAPTIVE FILTERING. In Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems - PECCS; ISBN 978-989-8425-48-5; ISSN 2184-2817, SciTePress, pages 317-323. DOI: 10.5220/0003364103170323

@conference{peccs11,
author={Bei Xie. and Tamal Bose.},
title={PARTIAL UPDATE CONJUGATE GRADIENT ALGORITHMS FOR ADAPTIVE FILTERING},
booktitle={Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems - PECCS},
year={2011},
pages={317-323},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003364103170323},
isbn={978-989-8425-48-5},
issn={2184-2817},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems - PECCS
TI - PARTIAL UPDATE CONJUGATE GRADIENT ALGORITHMS FOR ADAPTIVE FILTERING
SN - 978-989-8425-48-5
IS - 2184-2817
AU - Xie, B.
AU - Bose, T.
PY - 2011
SP - 317
EP - 323
DO - 10.5220/0003364103170323
PB - SciTePress