@inproceedings{42094034d3b84a79bcba0f664be9df8f,
title = "Partial update conjugate gradient algorithms for adaptive filtering",
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.",
keywords = "Conjugate gradient adaptive filter, Partial update, Recursive algorithms",
author = "Bei Xie and Tamal Bose",
year = "2011",
language = "English (US)",
isbn = "9789898425485",
series = "PECCS 2011 - Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems",
pages = "317--323",
booktitle = "PECCS 2011 - Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems",
note = "1st International Conference on Pervasive and Embedded Computing and Communication Systems, PECCS 2011 ; Conference date: 05-03-2011 Through 07-03-2011",
}