Jiang, M.D., Liu, W. and Li, Y. (2014) A Zero-attracting Quaternion-valued Least Mean Square Algorithm for Sparse System Identification. In: 9th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2014. International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), 23-25 Jul 2014, Manchester, UK. IEEE
Abstract
Recently, quaternion-valued signal processing has received more and more attention. In this paper, the quaternion-valued sparse system identification problem is studied for the first time and a zero-attracting quaternion-valued least mean square (LMS) algorithm is derived by considering the l1 norm of the quaternion-valued adaptive weight vector. By incorporating the sparsity information of the system into the update process, a faster convergence speed is achieved, as verified by simulation results.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 17 Feb 2016 15:03 |
Last Modified: | 20 Mar 2018 19:19 |
Published Version: | http://dx.doi.org/10.1109/CSNDSP.2014.6923898 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/CSNDSP.2014.6923898 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:94837 |