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| LMS与RLS算法仿真消噪对比研究 | |
| 引用本文： | 田玉静,左红伟,朱周华. LMS与RLS算法仿真消噪对比研究[J]. 通信技术, 2009, 42(12): 161-163 |
| 作者姓名： | 田玉静 左红伟 朱周华 |
| 作者单位： | 1. 青岛理工大学,现代教育技术中心,山东,青岛,266033 2. 青岛理工大学土木工程学院,山东,青岛,266033 3. 西安科技大学,通信工程学院,陕西,西安,710054 |
| 摘 要： | 讨论了RLS（递归最小二乘）和LMS（最小均方）自适应滤波算法及原理,对两种算法进行了系统全面的分析,对比研究了各自的优势及不足,提出了两种算法在语音消噪仿真中的算法实现,对实际语音信号进行了仿真消噪,研究表明选用算法对语音消噪是明显有效的,RLS自适应消噪算法及LMS自适应噪声抵消算法具有很强的实际应用价值。 |
| 关 键 词： | 递归最小二乘算法 最小均方算法 语音消噪 自适应滤波 |
Simulation De-noising Comparison of LMS and RLS Algorithm |
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| Affiliation: | TIAN Yu-jing, ZUO Hong-wei, ZHU Zhou-hua (1Modern Education and Technology Center, Qingdao Tech Uni., Qingdao Shandong 266033, China 2School of Civil Engineering, Qingdao Technological University, Qingdao Shandong 266033, China 3School of Communication Engineering, Xi＇ an Technological University, Xi＇ an Shaanxi 710054, China) |
| Abstract: | The algorithms and principles of RLS（recursive least-squares） and LMS（least mean squares） adaptive filter are studied. The two de-noising methods are analyzed systematically and comprehensively, and comparisons of their advantages and disadvantages are presented. The simulation algorithms based on the speech de-noising is given, and the simulationon de-noising of actual speech signal with white noise is made. The research result shows that the RLS and LMS algorithms for speech de-noising are obviously effective, and the RLS and LMS adaptive filter algorithms are of great practical value. |
| Keywords: | RLS algorithm LMS algorithm speech de-noising adaptive filter |
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