摘要 : The so-called constrained least mean-square algorithm is one of the most commonly used linear-equality-constrained adaptive filtering algorithms. Its main advantages are adaptability and relative simplicity. In order to gain analy... 展开
作者 | Reza Arablouei Kutluyil Dogancay Stefan Werner |
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作者单位 | |
期刊名称 | 《Signal processing》 |
页码/总页数 | 192-197 / 6 |
语种/中图分类号 | 英语 / TM |
关键词 | Constrained least mean-square Linearly-constrained adaptive filtering Mean-square deviation Mean-square stability Performance analysis |
DOI | 10.1016/j.sigpro.2015.05.011 |
馆藏号 | TM-058 |