主动噪声控制
计算机科学
自适应滤波器
噪音(视频)
最小均方滤波器
趋同(经济学)
收敛速度
滤波器(信号处理)
算法
降噪
电信
人工智能
经济增长
计算机视觉
图像(数学)
频道(广播)
经济
作者
Shubhra Dixit,Deepak Nagaria
出处
期刊:International Journal of Electrical and Computer Engineering
[Institute of Advanced Engineering and Science]
日期:2017-10-01
卷期号:7 (5): 2520-2520
被引量:60
标识
DOI:10.11591/ijece.v7i5.pp2520-2529
摘要
This paper reviews the past and the recent research on Adaptive Filter algorithms based on adaptive noise cancellation systems. In many applications of noise cancellation, the change in signal characteristics could be quite fast which requires the utilization of adaptive algorithms that converge rapidly. Algorithms such as LMS and RLS proves to be vital in the noise cancellation are reviewed including principle and recent modifications to increase the convergence rate and reduce the computational complexity for future implementation. The purpose of this paper is not only to discuss various noise cancellation LMS algorithms but also to provide the reader with an overview of the research conducted.
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