| NLMS算法在有源降噪系统中的应用 |
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| 引用本文： | 刘姜涛,徐辉.NLMS算法在有源降噪系统中的应用[J].培训与研究,2014(2):25-27. |
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| 作者姓名： | 刘姜涛 徐辉 |
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| 作者单位： | 湖北第二师范学院物理与机电工程学院,武汉430205 |
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| 基金项目： | 湖北省教育厅科学技术研究项目（B2013012） |
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| 摘 要： | 本文分析了自适应算法的原理,研究了最小均方（LMS）算法和归一化最小均方（NLMS）算法的区别,给出了有源噪声控制的仿真系统,并进行了仿真实验,在输入信号变化较大时,NLMS算法也能够维持稳定,并比LMS的收敛速度快.
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| 关 键 词： | 归一化最小均方算法 有源噪声控制 仿真 自适应算法 |
The Application of NLMS Algorithm in Active Noise Control System |
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| LIU Jiang-tao,XU Hui.The Application of NLMS Algorithm in Active Noise Control System[J].Training and Research-Journal of Hubei College of Education,2014(2):25-27. |
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| Authors: | LIU Jiang-tao XU Hui |
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| Institution: | ( School of Physics ＆ Mechanical and Electrical Engineering, Hubei University of Education, Wuhan 430205, China) |
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| Abstract: | The paper analyzes the principle of adaptive algorithm and studies the differences between Least Mean Square （LMS） and Normalized Least Mean Square（NLMS）. Active noise control system is simulated. Simulation experimental results show that NLMS algorithm can keep stable and has higher rate of convergence than LMS even inputing an signal with large fluctuations. |
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| Keywords: | NLMS active noise control simulation adaptive algorithm |
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