PARTIAL UPDATE CONJUGATE GRADIENT ALGORITHMS FOR ADAPTIVE FILTERING

Bei Xie, Tamal Bose

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.

References

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Paper Citation


in Harvard Style

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 - Volume 1: PECCS, ISBN 978-989-8425-48-5, pages 317-323. DOI: 10.5220/0003364103170323


in Bibtex Style

@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 - Volume 1: PECCS,},
year={2011},
pages={317-323},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003364103170323},
isbn={978-989-8425-48-5},
}


in EndNote Style

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