一种用于稀疏系统辨识的零吸引四元数值最小均方算法
数值分析
2014-06-24 v1 复变函数
最优化与控制
摘要
最近，四元数值信号处理受到了越来越多的关注。本文首次研究了四元数值稀疏系统辨识问题，并通过考虑四元数值自适应权重向量的 范数，推导了一种零吸引四元数值最小均方 (LMS) 算法。通过将系统的稀疏性信息纳入更新过程，实现了更快的收敛速度，仿真结果验证了这一点。
引用
@article{arxiv.1406.5721,
title = {A Zero-attracting Quaternion-valued Least Mean Square Algorithm for Sparse System Identification},
author = {Mengdi Jiang and Wei Liu and Yi Li},
journal= {arXiv preprint arXiv:1406.5721},
year = {2014}
}
备注
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)