التفاصيل البيبلوغرافية
| العنوان: |
A Zero-attracting Quaternion-valued Least Mean Square Algorithm for Sparse System Identification |
| المؤلفون: |
Jiang, Mengdi, Liu, Wei, Li, Yi |
| سنة النشر: |
2014 |
| المجموعة: |
ArXiv.org (Cornell University Library) |
| مصطلحات موضوعية: |
Mathematics - Numerical Analysis, Mathematics - Complex Variables, Mathematics - Optimization and Control |
| الوصف: |
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 $l_1$ 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. ; Comment: This work is partially funded by National Grid, UK and will appear in the Proc. of the 9th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), Manchester, UK, July 2014 (submitted in March 2014 and accepted on 18 April 2014) |
| نوع الوثيقة: |
text |
| اللغة: |
unknown |
| العلاقة: |
http://arxiv.org/abs/1406.5721Test |
| الإتاحة: |
http://arxiv.org/abs/1406.5721Test |
| رقم الانضمام: |
edsbas.5A8B0176 |
| قاعدة البيانات: |
BASE |
